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Network intrusion detection is a key pillar towards the sustainability and normal operation of information systems. Complex threat patterns and malicious actors are able to cause severe damages to cyber-systems. In this work, we propose novel Deep Learning formulations for detecting threats and alerts on network logs that were acquired by pfSense, an open-source software that acts as firewall on FreeBSD operating system. pfSense integrates several powerful security services such as firewall, URL filtering, and virtual private networking among others. The main goal of this study is to analyse the logs that were acquired by a local installation of pfSense software, in order to provide a powerful and efficient solution that controls traffic flow based on patterns that are automatically learnt via the proposed, challenging DL architectures. For this purpose, we exploit the Convolutional Neural Networks (CNNs), and the Long Short Term Memory Networks (LSTMs) in order to construct robust multi-class classifiers, able to assign each new network log instance that reaches our system into its corresponding category. The performance of our scheme is evaluated by conducting several quantitative experiments, and by comparing to state-of-the-art formulations.
Konstantina Fotiadou; Terpsichori-Helen Velivassaki; Artemis Voulkidis; Dimitrios Skias; Sofia Tsekeridou; Theodore Zahariadis. Network Traffic Anomaly Detection via Deep Learning. Information 2021, 12, 215 .
AMA StyleKonstantina Fotiadou, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Dimitrios Skias, Sofia Tsekeridou, Theodore Zahariadis. Network Traffic Anomaly Detection via Deep Learning. Information. 2021; 12 (5):215.
Chicago/Turabian StyleKonstantina Fotiadou; Terpsichori-Helen Velivassaki; Artemis Voulkidis; Dimitrios Skias; Sofia Tsekeridou; Theodore Zahariadis. 2021. "Network Traffic Anomaly Detection via Deep Learning." Information 12, no. 5: 215.
In this paper, we address the management of Data Centers (DCs) by considering their optimal integration with the electrical, thermal, and IT (Information Technology) networks helping them to meet sustainability objectives and gain primary energy savings. Innovative scenarios are defined for exploiting the DCs electrical, thermal, and workload flexibility as a commodity and Information and Communication Technologies (ICT) are proposed and used as enablers for the scenarios’ implementation. The technology and scenarios were evaluated in the context of two operational DCs: a micro DC in Poznan which has on-site renewable sources and a DC in Point Saint Martin. The test cases’ results validate the possibility of using renewable energy sources (RES) for exploiting DCs’ energy flexibility and the potential of combining IT load migration with the availability of RES to increase the amount of energy flexibility by finding a trade-off between the flexibility level, IT load Quality of Service (QoS), and the RES production level. Moreover, the experiments conducted show that the DCs can successfully adapt their thermal energy profile for heat re-use as well as the combined electrical and thermal energy profiles to match specific flexibility requests.
Tudor Cioara; Marcel Antal; Claudia (Pop); Ionut Anghel; Massimo Bertoncini; Diego Arnone; Marilena Lazzaro; Marzia Mammina; Terpsichori-Helen Velivassaki; Artemis Voulkidis; Yoann Ricordel; Nicolas Sainthérant; Ariel Oleksiak; Wojciech Piatek. Data Centers Optimized Integration with Multi-Energy Grids: Test Cases and Results in Operational Environment. Sustainability 2020, 12, 9893 .
AMA StyleTudor Cioara, Marcel Antal, Claudia (Pop), Ionut Anghel, Massimo Bertoncini, Diego Arnone, Marilena Lazzaro, Marzia Mammina, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Yoann Ricordel, Nicolas Sainthérant, Ariel Oleksiak, Wojciech Piatek. Data Centers Optimized Integration with Multi-Energy Grids: Test Cases and Results in Operational Environment. Sustainability. 2020; 12 (23):9893.
Chicago/Turabian StyleTudor Cioara; Marcel Antal; Claudia (Pop); Ionut Anghel; Massimo Bertoncini; Diego Arnone; Marilena Lazzaro; Marzia Mammina; Terpsichori-Helen Velivassaki; Artemis Voulkidis; Yoann Ricordel; Nicolas Sainthérant; Ariel Oleksiak; Wojciech Piatek. 2020. "Data Centers Optimized Integration with Multi-Energy Grids: Test Cases and Results in Operational Environment." Sustainability 12, no. 23: 9893.
Autonomous fault detection plays a major role in the Critical Energy Infrastructure (CEI) domain, since sensor faults cause irreparable damage and lead to incorrect results on the condition monitoring of Cyber-Physical (CP) systems. This paper focuses on the challenging application of wind turbine (WT) monitoring. Specifically, we propose the two challenging architectures based on learning deep features, namely—Long Short Term Memory-Stacked Autoencoders (LSTM-SAE), and Convolutional Neural Network (CNN-SAE), for semi-supervised fault detection in wind CPs. The internal learnt features will facilitate the classification task by assigning each upcoming measurement into its corresponding faulty/normal operation status. To illustrate the quality of our schemes, their performance is evaluated against real-world’s wind turbine data. From the experimental section we are able to validate that both LSTM-SAE and CNN-SAE schemes provide high classification scores, indicating the high detection rate of the fault level of the wind turbines. Additionally, slight modification on our architectures are able to be applied on different fault/anomaly detection categories on variant Cyber-Physical systems.
Konstantina Fotiadou; Terpsichori Helen Velivassaki; Artemis Voulkidis; Dimitrios Skias; Corrado De Santis; Theodore Zahariadis. Proactive Critical Energy Infrastructure Protection via Deep Feature Learning. Energies 2020, 13, 2622 .
AMA StyleKonstantina Fotiadou, Terpsichori Helen Velivassaki, Artemis Voulkidis, Dimitrios Skias, Corrado De Santis, Theodore Zahariadis. Proactive Critical Energy Infrastructure Protection via Deep Feature Learning. Energies. 2020; 13 (10):2622.
Chicago/Turabian StyleKonstantina Fotiadou; Terpsichori Helen Velivassaki; Artemis Voulkidis; Dimitrios Skias; Corrado De Santis; Theodore Zahariadis. 2020. "Proactive Critical Energy Infrastructure Protection via Deep Feature Learning." Energies 13, no. 10: 2622.
Intrusion detection plays a critical role in cyber-security domain since malicious attacks cause irreparable damages to cyber-systems. In this work, we propose the I2SP prototype, which is a novel Information Sharing Platform, able to gather, pre-process, model, and distribute network-traffic information. Within the I2SP prototype we build several challenging deep feature learning models for network-traffic intrusion detection. The learnt representations will be utilized for classifying each new network measurement into its corresponding threat level. We evaluate our prototype’s performance by conducting case studies using cyber-security data extracted from the Malware Information Sharing Platform (MISP)-API. To the best of our knowledge, we are the first that combine the MISP-API in order to construct an information sharing mechanism that supports multiple novel deep feature learning architectures for intrusion detection. Experimental results justify that the proposed deep feature learning techniques are able to predict accurately MISP threat-levels.
Konstantina Fotiadou; Terpsichori-Eleni Velivassaki; Artemis Voulkidis; Konstantinos Railis; Panagiotis Trakadas; Theodore Zahariadis. Incidents Information Sharing Platform for Distributed Attack Detection. IEEE Open Journal of the Communications Society 2020, 1 -1.
AMA StyleKonstantina Fotiadou, Terpsichori-Eleni Velivassaki, Artemis Voulkidis, Konstantinos Railis, Panagiotis Trakadas, Theodore Zahariadis. Incidents Information Sharing Platform for Distributed Attack Detection. IEEE Open Journal of the Communications Society. 2020; (99):1-1.
Chicago/Turabian StyleKonstantina Fotiadou; Terpsichori-Eleni Velivassaki; Artemis Voulkidis; Konstantinos Railis; Panagiotis Trakadas; Theodore Zahariadis. 2020. "Incidents Information Sharing Platform for Distributed Attack Detection." IEEE Open Journal of the Communications Society , no. 99: 1-1.
Terpsichori-Eleni Velivassaki; Panagiotis Athanasoulis; Panagiotis Trakadas. uCash: ATM Cash Management as a Critical and Data-intensive Application. Proceedings of the 9th International Conference on Cloud Computing and Services Science 2019, 642 -647.
AMA StyleTerpsichori-Eleni Velivassaki, Panagiotis Athanasoulis, Panagiotis Trakadas. uCash: ATM Cash Management as a Critical and Data-intensive Application. Proceedings of the 9th International Conference on Cloud Computing and Services Science. 2019; ():642-647.
Chicago/Turabian StyleTerpsichori-Eleni Velivassaki; Panagiotis Athanasoulis; Panagiotis Trakadas. 2019. "uCash: ATM Cash Management as a Critical and Data-intensive Application." Proceedings of the 9th International Conference on Cloud Computing and Services Science , no. : 642-647.
Terpsichori-Eleni Velivassaki; Panagiotis Athanasoulis. Fast and Streaming Analytics in ATM Cash Management. Proceedings of the 8th International Conference on Data Science, Technology and Applications 2019, 1 .
AMA StyleTerpsichori-Eleni Velivassaki, Panagiotis Athanasoulis. Fast and Streaming Analytics in ATM Cash Management. Proceedings of the 8th International Conference on Data Science, Technology and Applications. 2019; ():1.
Chicago/Turabian StyleTerpsichori-Eleni Velivassaki; Panagiotis Athanasoulis. 2019. "Fast and Streaming Analytics in ATM Cash Management." Proceedings of the 8th International Conference on Data Science, Technology and Applications , no. : 1.
With the proliferation of energy-hungry small- and medium-sized data centers in urban contexts and granted the ever-increasing demand for digitalization of increasingly more services, an urgent need for managing the energy consumption of urban data centers has arisen. Such energy consumption management should be subject to limitations of variable elasticity such as the balancing needs of the smart grid, the service level agreements (SLAs) signed between the cloud services providers and their customers, the actual computational capacity of the data centers, and the needs of the data center owners for maximizing profit through service provisioning. The EU research project DOLFIN has proposed an approach towards optimizing the energy consumption of federated data centers by means of continuous resources monitoring and by exploiting flexible SLA renegotiation, coupled with the operation of predictive, multilayered optimization components.
Artemis C. Voulkidis; Terpsichori-Eleni Velivassaki; Theodore Zahariadis. On Optimizing the Energy Consumption of Urban Data Centers. Hardware Accelerators in Data Centers 2018, 215 -239.
AMA StyleArtemis C. Voulkidis, Terpsichori-Eleni Velivassaki, Theodore Zahariadis. On Optimizing the Energy Consumption of Urban Data Centers. Hardware Accelerators in Data Centers. 2018; ():215-239.
Chicago/Turabian StyleArtemis C. Voulkidis; Terpsichori-Eleni Velivassaki; Theodore Zahariadis. 2018. "On Optimizing the Energy Consumption of Urban Data Centers." Hardware Accelerators in Data Centers , no. : 215-239.
Current partially or even no automated in-hospital processes often allow unacceptable errors to occur, the effects of which may span from simple injury to mortality. Recent advances in the Internet of Things, smart tags and cloud technologies may decisively alter this fact and minimize such "never events". In this paper, MATISSE is presented as a smart hospital ecosystem, aiming to decisively decrease "never events" in the hospital value chain. Real-time drugs/pills lifetime/aptness verification and medication administration, patients' identification and association with drugs and medical exams, as well as real-time quality assessment are supported in the proposed ecosystem. The ecosystem leverages the exploitation of information lying in (dynamic) smart tags attached to physical and virtual entities of the ecosystem, as well as the integration of a smart medication cart. The paper presents the supported use cases and the architectural design of the proposed solution, while it provides insights in both the hardware and software assembly of the smart medication cart.
Christos Zachariadis; Terpsichori-Eleni Velivassaki; Theodore Zahariadis; Konstantinos Railis; Helen C. Leligou. MATISSE: A Smart Hospital Ecosystem. 2018 21st Euromicro Conference on Digital System Design (DSD) 2018, 464 -471.
AMA StyleChristos Zachariadis, Terpsichori-Eleni Velivassaki, Theodore Zahariadis, Konstantinos Railis, Helen C. Leligou. MATISSE: A Smart Hospital Ecosystem. 2018 21st Euromicro Conference on Digital System Design (DSD). 2018; ():464-471.
Chicago/Turabian StyleChristos Zachariadis; Terpsichori-Eleni Velivassaki; Theodore Zahariadis; Konstantinos Railis; Helen C. Leligou. 2018. "MATISSE: A Smart Hospital Ecosystem." 2018 21st Euromicro Conference on Digital System Design (DSD) , no. : 464-471.
This paper presents a novel Data Center (DC) flexibility ecosystem, which aims to accelerate the commercial utilization of innovative energy efficiency solutions and on-site integration of renewable energy generation in DCs. The proposed ecosystem leverages on providing mutualized energy flexibility services to power and heat energy grids, while contributing to increased resiliency and security of the power supply.
Ionut Anghel; Tudor Cioara; Claudia Pop; Massimo Bertoncini; Terpsichori-Eleni Velivassaki; Vasiliki Georgiadou; Ariel Oleksiak; Artemis Voulkidis; Nicolas Saintherant; Maria Adele Paglia. Converting Data Centers in Energy Flexibility Ecosystems. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2018, 1 -4.
AMA StyleIonut Anghel, Tudor Cioara, Claudia Pop, Massimo Bertoncini, Terpsichori-Eleni Velivassaki, Vasiliki Georgiadou, Ariel Oleksiak, Artemis Voulkidis, Nicolas Saintherant, Maria Adele Paglia. Converting Data Centers in Energy Flexibility Ecosystems. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2018; ():1-4.
Chicago/Turabian StyleIonut Anghel; Tudor Cioara; Claudia Pop; Massimo Bertoncini; Terpsichori-Eleni Velivassaki; Vasiliki Georgiadou; Ariel Oleksiak; Artemis Voulkidis; Nicolas Saintherant; Maria Adele Paglia. 2018. "Converting Data Centers in Energy Flexibility Ecosystems." 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-4.
Highlights•Scheduling and optimizing Data Centres operation.•Data Centre participation in Smart Demand Response programs.•Data Centre flexible energy resources.•Electronic marketplace for trading energy flexibility and ancillary services. AbstractIn this paper we address the problem of Data Centres (DCs) integration into the Smart Grid scenario by proposing a technique for scheduling and optimizing their operation allowing them to participate in Smart Demand Response programs. The technique is leveraging on DCs available flexible energy resources, on mechanisms for eliciting this latent flexibility and on an innovative electronic marketplace designed for trading energy flexibility and ancillary services. This will enact DCs to shape their energy demand to buy additional energy when prices are low and sell energy surplus when prices are high. At the same time DCs will be able to provide increased energy demand due to a large un-forecasted renewable energy production in their local grid, shed or shift energy demand over time to avoid a coincidental peak load, provide fast ramping power by turning on their backup fossil fuelled generators and injecting the energy surplus in the grid and finally provide reactive power regulation by changing their power factor. Numerical simulations results considering traces of an operational DC indicate the great potential of the proposed technique for supporting DCs participation in Smart Demand Response programs.
Tudor Cioara; Ionut Anghel; Massimo Bertoncini; Ioan Salomie; Diego Arnone; Marzia Mammina; Terpsichori-Helen Velivassaki; Marcel Antal. Optimized flexibility management enacting Data Centres participation in Smart Demand Response programs. Future Generation Computer Systems 2018, 78, 330 -342.
AMA StyleTudor Cioara, Ionut Anghel, Massimo Bertoncini, Ioan Salomie, Diego Arnone, Marzia Mammina, Terpsichori-Helen Velivassaki, Marcel Antal. Optimized flexibility management enacting Data Centres participation in Smart Demand Response programs. Future Generation Computer Systems. 2018; 78 ():330-342.
Chicago/Turabian StyleTudor Cioara; Ionut Anghel; Massimo Bertoncini; Ioan Salomie; Diego Arnone; Marzia Mammina; Terpsichori-Helen Velivassaki; Marcel Antal. 2018. "Optimized flexibility management enacting Data Centres participation in Smart Demand Response programs." Future Generation Computer Systems 78, no. : 330-342.
Lara López; Francisco Javier Nieto; Terpsichori-Helen Velivassaki; Sokol Kosta; Cheol-Ho Hong; Raffaele Montella; Iakovos Mavroidis; Carles Fernández. Heterogeneous Secure Multi-level Remote Acceleration Service for Low-power Integrated Systems and Devices. Procedia Computer Science 2016, 97, 118 -121.
AMA StyleLara López, Francisco Javier Nieto, Terpsichori-Helen Velivassaki, Sokol Kosta, Cheol-Ho Hong, Raffaele Montella, Iakovos Mavroidis, Carles Fernández. Heterogeneous Secure Multi-level Remote Acceleration Service for Low-power Integrated Systems and Devices. Procedia Computer Science. 2016; 97 ():118-121.
Chicago/Turabian StyleLara López; Francisco Javier Nieto; Terpsichori-Helen Velivassaki; Sokol Kosta; Cheol-Ho Hong; Raffaele Montella; Iakovos Mavroidis; Carles Fernández. 2016. "Heterogeneous Secure Multi-level Remote Acceleration Service for Low-power Integrated Systems and Devices." Procedia Computer Science 97, no. : 118-121.
An innovative approach for increasing the energy efficiency of Data Centers is discussed. This approach views Data Centers as active load resources, integrated in the context of the smart city and operated in a coordinated manner. Data Centers can thus contribute to establishing sustainable, local, energy management ecosystems on a smart city level, while enabling optimized operation of the involved energy grids. To that end, the development of local marketplaces will allow for trading surplus of energy, both electricity and thermal, and provide local balancing flexibility as ancillary services. Reinforcing this vision, innovative business models are proposed that enable next generation of smart Net-zero Energy Data Centers acting as energy prosumers at the interface with smart energy grids within a smart city environment. Simulation experiments are conducted using the GEYSER defined Data Centers flexibility models and non-linear optimization techniques. Such simulations are used to evaluate the Data Centers energy demand flexibility in meeting various network level goals.
Massimo Bertoncini; Diego Arnone; Tudor Cioara; Ionut Anghel; Ioan Salomie; Terpsichori-Eleni Velivassaki. Next Generation Data Centers Business Models Enabling Multi-Resource Integration for Smart City Optimized Energy Efficiency. Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems 2015, 1 .
AMA StyleMassimo Bertoncini, Diego Arnone, Tudor Cioara, Ionut Anghel, Ioan Salomie, Terpsichori-Eleni Velivassaki. Next Generation Data Centers Business Models Enabling Multi-Resource Integration for Smart City Optimized Energy Efficiency. Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems. 2015; ():1.
Chicago/Turabian StyleMassimo Bertoncini; Diego Arnone; Tudor Cioara; Ionut Anghel; Ioan Salomie; Terpsichori-Eleni Velivassaki. 2015. "Next Generation Data Centers Business Models Enabling Multi-Resource Integration for Smart City Optimized Energy Efficiency." Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems , no. : 1.
The increasing demand for highly sophisticated cloud services and the consequent worldwide increase in the number of data centers (DC), make the need for energy efficient operation of DCs more actual than ever. Additionally, in the context of smart city and smart grid integration, flexible DCs can play a key role toward acting as grid-stabilization factors. In this paper, a review of the available techniques toward energy-efficient DC operation is performed. The available techniques give rise to four axes of flexibility within a federated DC network. Next, the applicability of the flexible, energy-efficient DC operation is highlighted, by proposing a simple scheduling algorithm, applicable to legacy DC equipment, for effective host and re-arrangement of the DC computing load. The proposed algorithm can provide substantial energy savings during periods of low computing load and improved Quality of Service during periods of high computing load. Concluding, the paper focuses on the grid-stabilization aspects of a federated DC network and the interoperability with the energy network via an Electronic Energy Marketplace in the context of a Smart City.
Alexis I. Aravanis; Terpsichori-Helen Velivassaki; Artemis Voulkidis; Theodore Zahariadis; Panayotis G. Cottis. Federated data centers as smart city stabilizing factors. 2015 IEEE Symposium on Computers and Communication (ISCC) 2015, 31 -37.
AMA StyleAlexis I. Aravanis, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Theodore Zahariadis, Panayotis G. Cottis. Federated data centers as smart city stabilizing factors. 2015 IEEE Symposium on Computers and Communication (ISCC). 2015; ():31-37.
Chicago/Turabian StyleAlexis I. Aravanis; Terpsichori-Helen Velivassaki; Artemis Voulkidis; Theodore Zahariadis; Panayotis G. Cottis. 2015. "Federated data centers as smart city stabilizing factors." 2015 IEEE Symposium on Computers and Communication (ISCC) , no. : 31-37.
Information Technology is a dominant player of our modern societies; Data Centres, lying at the heart of the IT landscape, have attracted attention, with their increasing energy consumption being a constant topic of concern, especially when it comes to the negative impact on the quality of their surrounding environment. Nevertheless, recent technological and societal advances are paving the way for DCs to change their role from passive energy consumers into prosumers, thus, transforming themselves into leading players within their smart district surroundings. This paper describes the innovative GEYSER approach to enabling green networked DCs to monitor, control, reuse, and optimize both their energy consumption and production, and in particular from renewable resources, towards becoming active participants within Smart Grids and Smart Cities.
Ionut Anghel; Massimo Bertoncini; Tudor Cioara; Marco Cupelli; Vasiliki Georgiadou; Pooyan Jahangiri; Antonello Monti; Seán Murphy; Anthony Schoofs; Terpsi Velivassaki. GEYSER: Enabling Green Data Centres in Smart Cities. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 8945, 71 -86.
AMA StyleIonut Anghel, Massimo Bertoncini, Tudor Cioara, Marco Cupelli, Vasiliki Georgiadou, Pooyan Jahangiri, Antonello Monti, Seán Murphy, Anthony Schoofs, Terpsi Velivassaki. GEYSER: Enabling Green Data Centres in Smart Cities. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; 8945 ():71-86.
Chicago/Turabian StyleIonut Anghel; Massimo Bertoncini; Tudor Cioara; Marco Cupelli; Vasiliki Georgiadou; Pooyan Jahangiri; Antonello Monti; Seán Murphy; Anthony Schoofs; Terpsi Velivassaki. 2015. "GEYSER: Enabling Green Data Centres in Smart Cities." Transactions on Petri Nets and Other Models of Concurrency XV 8945, no. : 71-86.
We evaluate a routing metric, called TXPFI, which captures the expected number of frame transmissions needed for successful delivery of data in Wireless Sensor Networks (WSNs) featuring non-fully cooperative nodes and unreliable links. The study, which addresses the exploitation of the TXPFI in routing protocols of distance-vector type, assesses the impact of different network settings on the performance of the metric, compares the TXPFI with a number of routing metrics derived from the composition of primary metrics commonly used in routing protocols for WSNs, and evaluates the distribution of the transmission load to network nodes. The simulation results show that the TXPFI exhibits consistent behavior for different network parameters, outperforms the other composite metrics included in the study in terms of the overall number of transmitted frames and performs reasonably well regarding the maximum transmission load placed on the network nodes.
Lambros Sarakis; Helen C. Leligou; Panagiotis Karkazis; Terpsichori-Eleni Velivassaki; Theodore Zahariadis. Evaluation of a transmission count-efficient metric for energy-aware routing in WSNs. 2014 International Conference on Telecommunications and Multimedia (TEMU) 2014, 98 -103.
AMA StyleLambros Sarakis, Helen C. Leligou, Panagiotis Karkazis, Terpsichori-Eleni Velivassaki, Theodore Zahariadis. Evaluation of a transmission count-efficient metric for energy-aware routing in WSNs. 2014 International Conference on Telecommunications and Multimedia (TEMU). 2014; ():98-103.
Chicago/Turabian StyleLambros Sarakis; Helen C. Leligou; Panagiotis Karkazis; Terpsichori-Eleni Velivassaki; Theodore Zahariadis. 2014. "Evaluation of a transmission count-efficient metric for energy-aware routing in WSNs." 2014 International Conference on Telecommunications and Multimedia (TEMU) , no. : 98-103.
Wireless Sensor Networks (WSNs) often need to operate under strict requirements on energy consumption and be capable of self-adapting to the presence of non-trusted nodes which do not fully cooperate in the packet forwarding operation. In such an environment, the mechanism employed for the calculation of routing paths of minimum cost in terms of the number of transmissions executed for the reliable communication between the data source and the data sink is essential to prevent unnecessary nodes' energy depletion and help prolong the network's lifetime. In this paper, we study a routing metric, TXPFI, that captures the expected number of frame transmissions - including retransmissions - needed for the successful delivery of data from the source to the destination in the presence of malicious nodes and lossy links, and validate its applicability to the IETF RPL routing protocol. Through extensive simulations we evaluate the capability of TXPFI to compute routing paths of minimum transmission count and compare it against a number of metrics suitable for transmission count-efficient and trust-aware routing in WSNs. The results show that the use of TXPFI in RPL can lead to significant transmission count savings.
Panagiotis Karkazis; Ioannis Papaefstathiou; Lambros Sarakis; Theodore Zahariadis; Terpsichori-Eleni Velivassaki; Dimitrios Bargiotas. Evaluation of RPL with a transmission count-efficient and trust-aware routing metric. 2014 IEEE International Conference on Communications (ICC) 2014, 550 -556.
AMA StylePanagiotis Karkazis, Ioannis Papaefstathiou, Lambros Sarakis, Theodore Zahariadis, Terpsichori-Eleni Velivassaki, Dimitrios Bargiotas. Evaluation of RPL with a transmission count-efficient and trust-aware routing metric. 2014 IEEE International Conference on Communications (ICC). 2014; ():550-556.
Chicago/Turabian StylePanagiotis Karkazis; Ioannis Papaefstathiou; Lambros Sarakis; Theodore Zahariadis; Terpsichori-Eleni Velivassaki; Dimitrios Bargiotas. 2014. "Evaluation of RPL with a transmission count-efficient and trust-aware routing metric." 2014 IEEE International Conference on Communications (ICC) , no. : 550-556.
The usability of wireless sensor networks in modern applications requires the fulfillment of dynamic Quality of Service (QoS) requirements that can only be met in a reactive manner by the introduction of composite routing metrics, capturing several distinct network characteristics. However, combining routing metrics is neither a trivial nor an arbitrary task, given the routing protocol requirements and routing metrics properties. In this paper, the theoretical framework of routing algebra formalism is adopted and extended to incorporate single or composite routing metrics, because the satisfaction of routing algebra properties ensures convergence, optimality, and loop‐freeness. Moreover, packet forwarding indication is defined as a new trust metric for systems (a) with or (b) without network retransmissions to avoid forwarding attacks, while a novel composite routing metric is presented, combining link reliability and trust‐awareness in an additive manner, fulfilling the theoretical requirements. Finally, this composite metric is applied to the Routing Protocol for Low Power and Lossy Networks via simulations, which verify its efficiency in several scenarios, including the comparison between lexical and additive metric composition approaches. Copyright © 2012 John Wiley & Sons, Ltd.
Terpsichori-Eleni Velivassaki; Panagiotis Karkazis; Theodore V. Zahariadis; Panagiotis T. Trakadas; Christos N. Capsalis. Trust-aware and link-reliable routing metric composition for wireless sensor networks. Transactions on Emerging Telecommunications Technologies 2012, 25, 539 -554.
AMA StyleTerpsichori-Eleni Velivassaki, Panagiotis Karkazis, Theodore V. Zahariadis, Panagiotis T. Trakadas, Christos N. Capsalis. Trust-aware and link-reliable routing metric composition for wireless sensor networks. Transactions on Emerging Telecommunications Technologies. 2012; 25 (5):539-554.
Chicago/Turabian StyleTerpsichori-Eleni Velivassaki; Panagiotis Karkazis; Theodore V. Zahariadis; Panagiotis T. Trakadas; Christos N. Capsalis. 2012. "Trust-aware and link-reliable routing metric composition for wireless sensor networks." Transactions on Emerging Telecommunications Technologies 25, no. 5: 539-554.
The diversity of applications that current and emerging Wireless Sensor Networks (WSNs) are called to support imposes different requirements on the underlying network with respect to delay and loss, while at the same time the WSN imposes its own intricacies. The satisfaction of these requirements highly depends on the metric upon which the forwarding routes are decided. In this view, the IETF ROLL group has proposed the RPL routing protocol, which can flexibly work on various routing metrics, as long as they hold specific properties. The system implementer/user is free to decide whether to use one or multiple routing metrics, as well as the way these metrics can be combined. In this paper, we provide ways to quantify the routing metrics so that they can be combined in an additive or lexical manner. We use extensive simulation results to evaluate the impact of several routing metrics on the achieved performance.
Panagiotis Karkazis; Helen C. Leligou; Lambros Sarakis; Theodore Zahariadis; Panagiotis Trakadas; Terpsichori-Eleni Velivassaki; Christos Capsalis. Design of primary and composite routing metrics for RPL-compliant Wireless Sensor Networks. 2012 International Conference on Telecommunications and Multimedia (TEMU) 2012, 13 -18.
AMA StylePanagiotis Karkazis, Helen C. Leligou, Lambros Sarakis, Theodore Zahariadis, Panagiotis Trakadas, Terpsichori-Eleni Velivassaki, Christos Capsalis. Design of primary and composite routing metrics for RPL-compliant Wireless Sensor Networks. 2012 International Conference on Telecommunications and Multimedia (TEMU). 2012; ():13-18.
Chicago/Turabian StylePanagiotis Karkazis; Helen C. Leligou; Lambros Sarakis; Theodore Zahariadis; Panagiotis Trakadas; Terpsichori-Eleni Velivassaki; Christos Capsalis. 2012. "Design of primary and composite routing metrics for RPL-compliant Wireless Sensor Networks." 2012 International Conference on Telecommunications and Multimedia (TEMU) , no. : 13-18.
The problem of acquiring harmonized digital dividend in the upper part of the UHF band is considered through modifying the existing DVB-T frequency plans, as derived from the Geneva Agreement in 2006 (GE06). A novel scheme is proposed to modify GE06 plans by providing the requirements in frequency channels and taking into account intra- and inter-country electromagnetic compatibility constraints, provisioning for harmonized spectrum for the digital dividend in a coordinated way. The proposed scheme provides near- optimal frequency plans through metaheuristic methods, namely genetic algorithms, simulated annealing and particle swarm optimization.
Terpsichori-Helen N. Velivasaki; Sarantis-Dimitrios J. Kakarakis; Nicolas C. Kapsalis; Christos N. Capsalis. Metaheuristic Channel Assignment in DVB-T Networks in Conformity with Digital Dividend Requirements. Wireless Personal Communications 2012, 70, 709 -730.
AMA StyleTerpsichori-Helen N. Velivasaki, Sarantis-Dimitrios J. Kakarakis, Nicolas C. Kapsalis, Christos N. Capsalis. Metaheuristic Channel Assignment in DVB-T Networks in Conformity with Digital Dividend Requirements. Wireless Personal Communications. 2012; 70 (2):709-730.
Chicago/Turabian StyleTerpsichori-Helen N. Velivasaki; Sarantis-Dimitrios J. Kakarakis; Nicolas C. Kapsalis; Christos N. Capsalis. 2012. "Metaheuristic Channel Assignment in DVB-T Networks in Conformity with Digital Dividend Requirements." Wireless Personal Communications 70, no. 2: 709-730.
The spectral efficiency of the DVB-T protocol in comparison to the analog television systems will inevitably lead to the reduction of the UHF spectrum that is necessary for the current television broadcasts. Even if the number of available TV programs increases, or new services such as high definition TV (HDTV) are introduced along with DVB-T, there will still be more available spectrum at any given area than today. The spectrum that will be released by most European countries when the full digital switchover is completed in 2012 has been designated as ¿digital dividend¿ and is a matter of controversy between broadcasters and mobile communications operators that wish to occupy part of it. This paper examines the coexistence of DVB-T and IMT-2000 mobile telecommunications in the UHF bands IV and V that are used today for television broadcasting on a primary basis. The situation in which both services operate in adjacent (or even in the same) channels is examined on both technical and regulatory grounds, so as to take into account the International standards and rules for television broadcasting and personal mobile communications, as expressed mainly by the International Telecommunications Union (ITU).
Vasilis P. Kalogirou; Elena D. Nanou; Nicolas C. Capsalis; Terpsichori-Helen N. Velivasaki; Christos N. Capsalis. Compatibility of DVB-T services and IMT-2000 compliant mobile telecommunications in the UHF band of 470862 MHz. 2009 9th International Conference on Telecommunication in Modern Satellite, Cable, and Broadcasting Services 2009, 247 -254.
AMA StyleVasilis P. Kalogirou, Elena D. Nanou, Nicolas C. Capsalis, Terpsichori-Helen N. Velivasaki, Christos N. Capsalis. Compatibility of DVB-T services and IMT-2000 compliant mobile telecommunications in the UHF band of 470862 MHz. 2009 9th International Conference on Telecommunication in Modern Satellite, Cable, and Broadcasting Services. 2009; ():247-254.
Chicago/Turabian StyleVasilis P. Kalogirou; Elena D. Nanou; Nicolas C. Capsalis; Terpsichori-Helen N. Velivasaki; Christos N. Capsalis. 2009. "Compatibility of DVB-T services and IMT-2000 compliant mobile telecommunications in the UHF band of 470862 MHz." 2009 9th International Conference on Telecommunication in Modern Satellite, Cable, and Broadcasting Services , no. : 247-254.