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Ioanis Nikolaidis
Department of Computing Science, University of Alberta, Edmonton, AB T6G 2R3, Canada

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Journal article
Published: 12 December 2020 in Sensors
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The effectiveness of sensor-based applications for smart homes and smart buildings is conditioned upon the deployment configuration of their underlying sensors. Real-world evaluation of alternative possible sensor-deployment configurations is labor-intensive, costly, and time-consuming, which implies the need for a simulation-based methodology. In this work, we report on such a methodology that supports the modeling of indoor spaces, the activities of their occupants, and the behaviors of different types of sensors. We argue that, in order for a simulation to be useful for the purpose of evaluating a sensor deployment configuration, it has to generate realistic event streams of individual sensors over time, as well as realistic compositions of sensor events within a time window. We have evaluated our simulator for smart indoor spaces, SIMsis toolkit, in the context of our Smart-Condo ambient-assisted living platform, supporting the observation and analysis of activities of daily living (ADLs). Our findings indicate that SIMsis produces realistic agent traces and sensor readings, and has the potential to support the process of developing and deploying sensor-based applications.

ACS Style

Shadan Golestan; Ioanis Nikolaidis; Eleni Stroulia. Towards a Simulation Framework for Smart Indoor Spaces. Sensors 2020, 20, 7137 .

AMA Style

Shadan Golestan, Ioanis Nikolaidis, Eleni Stroulia. Towards a Simulation Framework for Smart Indoor Spaces. Sensors. 2020; 20 (24):7137.

Chicago/Turabian Style

Shadan Golestan; Ioanis Nikolaidis; Eleni Stroulia. 2020. "Towards a Simulation Framework for Smart Indoor Spaces." Sensors 20, no. 24: 7137.

Journal article
Published: 23 June 2020 in Ad Hoc Networks
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This paper proposes a RSSI quantization and genetic algorithm based localization method. To quantize RSSI measurements from sensor nodes, we first divide sensing disks of nodes into multiple-rings and adopt genetic algorithm based on elitist preservation strategy to determine rings width. Secondly, we calculate the overlapping of rings and construct the mapping between a binary code sequence and the overlapping area. Thirdly, a density-based clustering algorithm is presented to solve the ambiguity of the target appearing area. Based on which, a two-stage centroid localization algorithm is proposed, which is especially useful for the case of irregular appearing area of the target. Finally, we construct an experimental environment to validate the performance of our algorithm.

ACS Style

Qianqian Ren; Yang Zhang; Ioanis Nikolaidis; Jinbao Li; Yu Pan. RSSI quantization and genetic algorithm based localization in wireless sensor networks. Ad Hoc Networks 2020, 107, 102255 .

AMA Style

Qianqian Ren, Yang Zhang, Ioanis Nikolaidis, Jinbao Li, Yu Pan. RSSI quantization and genetic algorithm based localization in wireless sensor networks. Ad Hoc Networks. 2020; 107 ():102255.

Chicago/Turabian Style

Qianqian Ren; Yang Zhang; Ioanis Nikolaidis; Jinbao Li; Yu Pan. 2020. "RSSI quantization and genetic algorithm based localization in wireless sensor networks." Ad Hoc Networks 107, no. : 102255.

Journal article
Published: 26 February 2019 in IEEE Transactions on Mobile Computing
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Today's mobile battery-powered communication devices require that users access chargers via wired and, recently, wireless recharging facilities. For a device departing from a location with a given energy “budget”, a plausible strategy is to seek a charger location once the energy is exhausted. We present a model of mobile nodes that captures the paths followed by the nodes with depleted energy seeking, possibly via a detour, to reach a charger. The derived location-dependent mobile node density distribution is used to express the location-dependent congestion of a wireless network whose capacity is used by the mobile nodes. The boundaries, and the relative placement of the charger, create intriguing discontinuities in the probability density function of the nodes across space. We find that chargers are not always “hotspots” in terms of node density, and that the energy budget of the nodes at the beginning of their trip impacts that density and determines the hotspot. Moreover, upon energy depletion, to detour from one?s path or not, results in a distinctly different relative impact of the charger placement on the ability of nodes to sustain communication, depending, again on the energy budget the nodes have upon departure from a waypoint.

ACS Style

Wanxin Gao; Ioanis Nikolaidis; Janelle J. Harms. On the Interaction of Charging-Aware Mobility and Wireless Capacity. IEEE Transactions on Mobile Computing 2019, 19, 654 -663.

AMA Style

Wanxin Gao, Ioanis Nikolaidis, Janelle J. Harms. On the Interaction of Charging-Aware Mobility and Wireless Capacity. IEEE Transactions on Mobile Computing. 2019; 19 (3):654-663.

Chicago/Turabian Style

Wanxin Gao; Ioanis Nikolaidis; Janelle J. Harms. 2019. "On the Interaction of Charging-Aware Mobility and Wireless Capacity." IEEE Transactions on Mobile Computing 19, no. 3: 654-663.

Chapter
Published: 16 November 2018 in Handbook of Smart Cities
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Modern “smart” buildings require a plethora of sensors to be installed at various locations during the construction phase. Wiring costs and limited flexibility of installation make wired installations less attractive. An alternative, flexible, approach is to introduce wireless sensors and endow them with ways to harvest energy from the environment such that they attain the same “zero cost” of maintenance as their wired counterparts. The chapter reviews the sensing needs of smart buildings, and the related merits of energy harvesting to power embedded wireless sensor nodes. A proof-of-concept device exploiting thermoelectric harvesting is designed, built and tested to demonstrate how todays wireless sensing devices enable sustained continuous operation with minor energy harvesting requirements. In multi-hop environments, the underlying optimization problems are described and simple strategies that forego the solution of the hard computation problems but appear effective are outlined.

ACS Style

Aristotelis Kollias; Colton Begert; Ioanis Nikolaidis. Energy Harvesting in Smart Building Sensing: Overview and a Proof-of-Concept Study. Handbook of Smart Cities 2018, 355 -377.

AMA Style

Aristotelis Kollias, Colton Begert, Ioanis Nikolaidis. Energy Harvesting in Smart Building Sensing: Overview and a Proof-of-Concept Study. Handbook of Smart Cities. 2018; ():355-377.

Chicago/Turabian Style

Aristotelis Kollias; Colton Begert; Ioanis Nikolaidis. 2018. "Energy Harvesting in Smart Building Sensing: Overview and a Proof-of-Concept Study." Handbook of Smart Cities , no. : 355-377.

Research article
Published: 19 July 2018 in Wireless Communications and Mobile Computing
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We consider the problem of increasing the data collection frequency of aggregation convergecast. Previous studies attempt to increase the data collection frequency by shortening the completion of a single data collection cycle. We aim at increasing the frequency at which data collection updates are collected by the use of pipelining and, consequently, increasing the overall data collection frequency and throughput. To achieve this, we overlap the propagation schedule of multiple data snapshots within the same overall schedule cycle, thus increasing parallelism through pipelining. Consequently, the effective data collection time of an individual snapshot may span over multiple, successive, schedule cycles. To this end, we modify the aggregation convergecast model, decoupling schedule length, and data collection delay, by relaxing its precedence constraints. Our solution for this new problem involves the unconventional approach of constructing the schedule before finalizing the exact form of the data aggregation tree, which, in turn, requires that the schedule construction phase guarantees that every node can reach the sink. We compare our results using snapshot pipelining against a previously proposed algorithm that also uses a form of pipelining, as well as against an algorithm that though lacking pipelining, exhibits the ability to produce very short schedules. The results confirm the potential to achieve a substantial throughput increase, at the cost of some increase in latency.

ACS Style

Evandro De Souza; Ioanis Nikolaidis. Increasing Aggregation Convergecast Data Collection Frequency through Pipelining. Wireless Communications and Mobile Computing 2018, 2018, 1 -18.

AMA Style

Evandro De Souza, Ioanis Nikolaidis. Increasing Aggregation Convergecast Data Collection Frequency through Pipelining. Wireless Communications and Mobile Computing. 2018; 2018 ():1-18.

Chicago/Turabian Style

Evandro De Souza; Ioanis Nikolaidis. 2018. "Increasing Aggregation Convergecast Data Collection Frequency through Pipelining." Wireless Communications and Mobile Computing 2018, no. : 1-18.

Conference paper
Published: 01 November 2017 in 2017 International Conference on Advanced Computing and Applications (ACOMP)
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Transceiver duty-cycling (DC) is a popular technique to conserve energy in a wireless sensor network (WSN). In our previous work [SoICT 2016: 187-194], we introduce a modeling approach for wireless networks of time-varying topology whose nodes duty cycle periodically. By switching nodes (transceivers) OFF, we however inescapably reduce the attainable throughput to a certain degree. For the throughput reduction problem, in this paper, we consider the application of XOR-pairwise network coding (NC) approach to by combining packets destined for distinct users. Through numerous simulation studies and in comparison with the per-flow rates produced by the optimization step without NC, we found that the NC is really efficient and applicable to arbitrary topology DC WSNs for improving the total throughput of the networks although it may change the maxmin rate allocation to individual flows.

ACS Style

Van Ho; Ioanis Nikolaidis. Modeling Pairwise XOR Network Coding In Duty-Cycled Wireless Sensor Networks. 2017 International Conference on Advanced Computing and Applications (ACOMP) 2017, 28 -35.

AMA Style

Van Ho, Ioanis Nikolaidis. Modeling Pairwise XOR Network Coding In Duty-Cycled Wireless Sensor Networks. 2017 International Conference on Advanced Computing and Applications (ACOMP). 2017; ():28-35.

Chicago/Turabian Style

Van Ho; Ioanis Nikolaidis. 2017. "Modeling Pairwise XOR Network Coding In Duty-Cycled Wireless Sensor Networks." 2017 International Conference on Advanced Computing and Applications (ACOMP) , no. : 28-35.

Journal article
Published: 18 October 2017 in Sensors
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We consider the problem of estimating the location of people as they move and work in indoor environments. More specifically, we focus on the scenario where one of the persons of interest is unable or unwilling to carry a smartphone, or any other “wearable” device, which frequently arises in caregiver/cared-for situations. We consider the case of indoor spaces populated with anonymous binary sensors (Passive Infrared motion sensors) and eponymous wearable sensors (smartphones interacting with Estimote beacons), and we propose a solution to the resulting sensor-fusion problem. Using a data set with sensor readings collected from one-person and two-person sessions engaged in a variety of activities of daily living, we investigate the relative merits of relying solely on anonymous sensors, solely on eponymous sensors, or on their combination. We examine how the lack of synchronization across different sensing sources impacts the quality of location estimates, and discuss how it could be mitigated without resorting to device-level mechanisms. Finally, we examine the trade-off between the sensors’ coverage of the monitored space and the quality of the location estimates.

ACS Style

Parisa Mohebbi; Eleni Stroulia; Ioanis Nikolaidis. Sensor-Data Fusion for Multi-Person Indoor Location Estimation. Sensors 2017, 17, 2377 .

AMA Style

Parisa Mohebbi, Eleni Stroulia, Ioanis Nikolaidis. Sensor-Data Fusion for Multi-Person Indoor Location Estimation. Sensors. 2017; 17 (10):2377.

Chicago/Turabian Style

Parisa Mohebbi; Eleni Stroulia; Ioanis Nikolaidis. 2017. "Sensor-Data Fusion for Multi-Person Indoor Location Estimation." Sensors 17, no. 10: 2377.

Book chapter
Published: 17 December 2016 in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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In this paper we speculate that, with the technological elements already in place, an automated dynamic management of the RF spectrum in urban residential settings will soon be possible. Dense urban environments are increasingly facing RF spectrum congestion, in particular in the ISM bands. The Internet of Things is only expected to add to the pressures. In this work we outline an architecture that will analyze and resolve spectrum congestion. We are motivated by the adaptive and modifiable nature of existing protocols, inspired by existing capacity planning and channel allocation schemes from cellular networks, and emboldened by the synergies possible via software–defined radios. The cloud computing infrastructure can be leveraged to perform most compute-intensive tasks required towards this goal. We are encouraged that the approach is viable by the relatively static, in the local sense, topology that most residential networks exhibit. To be able to support a wide range of device capabilities we consider the possibility of using a mix of techniques, ranging from advanced physical layer, to special MAC coordination, to higher-layer protocol operations to indirectly influence the operation of legacy equipment.

ACS Style

Aikaterini Vlachaki; Ioanis Nikolaidis; Janelle J. Harms. Towards Dynamic Wireless Capacity Management for the Masses. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016, 155 -166.

AMA Style

Aikaterini Vlachaki, Ioanis Nikolaidis, Janelle J. Harms. Towards Dynamic Wireless Capacity Management for the Masses. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2016; ():155-166.

Chicago/Turabian Style

Aikaterini Vlachaki; Ioanis Nikolaidis; Janelle J. Harms. 2016. "Towards Dynamic Wireless Capacity Management for the Masses." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 155-166.

Review
Published: 18 April 2016 in International Journal of Medical Informatics
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Around the world, populations are aging and there is a growing concern about ways that older adults can maintain their health and well-being while living in their homes. The aim of this paper was to conduct a systematic literature review to determine: (1) the levels of technology readiness among older adults and, (2) evidence for smart homes and home-based health-monitoring technologies that support aging in place for older adults who have complex needs. We identified and analyzed 48 of 1863 relevant papers. Our analyses found that: (1) technology-readiness level for smart homes and home health monitoring technologies is low; (2) the highest level of evidence is 1b (i.e., one randomized controlled trial with a PEDro score ≥6); smart homes and home health monitoring technologies are used to monitor activities of daily living, cognitive decline and mental health, and heart conditions in older adults with complex needs; (3) there is no evidence that smart homes and home health monitoring technologies help address disability prediction and health-related quality of life, or fall prevention; and (4) there is conflicting evidence that smart homes and home health monitoring technologies help address chronic obstructive pulmonary disease. The level of technology readiness for smart homes and home health monitoring technologies is still low. The highest level of evidence found was in a study that supported home health technologies for use in monitoring activities of daily living, cognitive decline, mental health, and heart conditions in older adults with complex needs.

ACS Style

Lili Liu; Eleni Stroulia; Ioanis Nikolaidis; Antonio Miguel-Cruz; Adriana M. Ríos Rincón. Smart homes and home health monitoring technologies for older adults: A systematic review. International Journal of Medical Informatics 2016, 91, 44 -59.

AMA Style

Lili Liu, Eleni Stroulia, Ioanis Nikolaidis, Antonio Miguel-Cruz, Adriana M. Ríos Rincón. Smart homes and home health monitoring technologies for older adults: A systematic review. International Journal of Medical Informatics. 2016; 91 ():44-59.

Chicago/Turabian Style

Lili Liu; Eleni Stroulia; Ioanis Nikolaidis; Antonio Miguel-Cruz; Adriana M. Ríos Rincón. 2016. "Smart homes and home health monitoring technologies for older adults: A systematic review." International Journal of Medical Informatics 91, no. : 44-59.

Conference paper
Published: 19 June 2015 in Transactions on Petri Nets and Other Models of Concurrency XV
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ACS Style

Van Ho; Ioanis Nikolaidis. A Schedule Template Construction Technique for Duty Cycled Sensor Networks. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 48 -61.

AMA Style

Van Ho, Ioanis Nikolaidis. A Schedule Template Construction Technique for Duty Cycled Sensor Networks. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():48-61.

Chicago/Turabian Style

Van Ho; Ioanis Nikolaidis. 2015. "A Schedule Template Construction Technique for Duty Cycled Sensor Networks." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 48-61.

Conference paper
Published: 30 May 2015 in Transactions on Petri Nets and Other Models of Concurrency XV
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Recognizing the movement and activities of an individual in an indoor space is a key functionality of smart homes, as a prerequisite to providing services in support of the occupant. Focusing on the particular case of smart homes with multiple occupants, we developed a location-and-movement recognition method using many inexpensive passive infrared (PIR) motion sensors and, a small number of, more costly RFID readers. In our method, PIR sensors, placed throughout the space, recognize movement while RFID readers, placed in key locations, recognize tags worn by individuals as they pass through their coverage area. The RFID readings are used to disambiguate the trajectories constructed based on PIR sensor readings. We evaluate through simulations the effectiveness of our method under different occupancy conditions.

ACS Style

Masoud Vatanpour Azghandi; Ioanis Nikolaidis; Eleni Stroulia. Multi–Occupant Movement Tracking in Smart Home Environments. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 319 -324.

AMA Style

Masoud Vatanpour Azghandi, Ioanis Nikolaidis, Eleni Stroulia. Multi–Occupant Movement Tracking in Smart Home Environments. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():319-324.

Chicago/Turabian Style

Masoud Vatanpour Azghandi; Ioanis Nikolaidis; Eleni Stroulia. 2015. "Multi–Occupant Movement Tracking in Smart Home Environments." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 319-324.

Conference paper
Published: 01 January 2015 in Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems
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ACS Style

Aristotelis Kollias; Ioanis Nikolaidis. Seasonally Aware Routing for Thermoelectric Energy Harvesting Wireless Sensor Networks. Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems 2015, 174 -184.

AMA Style

Aristotelis Kollias, Ioanis Nikolaidis. Seasonally Aware Routing for Thermoelectric Energy Harvesting Wireless Sensor Networks. Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems. 2015; ():174-184.

Chicago/Turabian Style

Aristotelis Kollias; Ioanis Nikolaidis. 2015. "Seasonally Aware Routing for Thermoelectric Energy Harvesting Wireless Sensor Networks." Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems , no. : 174-184.

Journal article
Published: 02 October 2014 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
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The Smart-Condo is a hardware/software platform that aims to support and assist an individual in performing a variety of everyday tasks within his/her living space. The key to achieving this goal is being able to recognize the individual's general activities in real-time, without impeding these activities or compromising privacy. Since location and movement constitute meaningful evidence for many everyday tasks (e.g., presence in the bathroom correlates with personal hygiene activities), we are motivated to develop an efficient, accurate, and noninvasive occupant-localization method. To this end, we propose a methodology for planning the deployment of an array of privacy-respecting binary motion sensors. In particular, given the geometric constraints of the deployment space, we generate a model of indoor mobility patterns typical for a single occupant. We then use this model as the basis for a specific optimization problem: maximizing a measure of how well the frequently-visited areas of the living space are covered by a number of sensors, subject to a cardinality constraint on this number. We argue this optimization objective is a good surrogate for maximizing localization accuracy, and prove that it bears exploitable properties that make it receptive to a simple optimization routine. As a result, we obtain sensor configurations with localization accuracy superior to that achievable with the same number of sensors placed manually or randomly in the same environment.

ACS Style

Iuliia Vlasenko; Ioanis Nikolaidis; Eleni Stroulia. The Smart-Condo: Optimizing Sensor Placement for Indoor Localization. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2014, 45, 436 -453.

AMA Style

Iuliia Vlasenko, Ioanis Nikolaidis, Eleni Stroulia. The Smart-Condo: Optimizing Sensor Placement for Indoor Localization. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2014; 45 (3):436-453.

Chicago/Turabian Style

Iuliia Vlasenko; Ioanis Nikolaidis; Eleni Stroulia. 2014. "The Smart-Condo: Optimizing Sensor Placement for Indoor Localization." IEEE Transactions on Systems, Man, and Cybernetics: Systems 45, no. 3: 436-453.

Journal article
Published: 01 October 2014 in Sustainable Cities and Society
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ACS Style

Tanzia Sharmin; Mustafa Gül; Xinming Li; Veselin Ganev; Ioanis Nikolaidis; Mohamed Al-Hussein. Monitoring building energy consumption, thermal performance, and indoor air quality in a cold climate region. Sustainable Cities and Society 2014, 13, 57 -68.

AMA Style

Tanzia Sharmin, Mustafa Gül, Xinming Li, Veselin Ganev, Ioanis Nikolaidis, Mohamed Al-Hussein. Monitoring building energy consumption, thermal performance, and indoor air quality in a cold climate region. Sustainable Cities and Society. 2014; 13 ():57-68.

Chicago/Turabian Style

Tanzia Sharmin; Mustafa Gül; Xinming Li; Veselin Ganev; Ioanis Nikolaidis; Mohamed Al-Hussein. 2014. "Monitoring building energy consumption, thermal performance, and indoor air quality in a cold climate region." Sustainable Cities and Society 13, no. : 57-68.

Conference paper
Published: 01 September 2014 in 39th Annual IEEE Conference on Local Computer Networks
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Due to recent progress in signal processing techniques, the traditional collision channel model is inadequate for communication networks where the transceivers are endowed with the ability to transmit or receive multiple packets simultaneously (the MPT/MPR capability). This paper studies the schedule construction in MPT/MPR systems with the objective to understand how the flows traversing the network can leverage the MPT/MPR capabilities in multi-hop wireless networks. Towards our goal, we present a heuristic algorithm MDSatur to produce a schedule and propose the wireless water-filling (WF) algorithm which extends the traditional water-filling algorithm to multi-hop wireless scenarios to compute max-min allocations when the MPT and MPR capabilities are equal. By combining MDSatur and WF, we also design the LEX scheme to approximate the lexicographically optimal allocation of the system when the network has nonidentical MPT and MPR capabilities.

ACS Style

Ke Li; Ioanis Nikolaidis; Janelle Harms. On the potential of MPT/MPR wireless networks. 39th Annual IEEE Conference on Local Computer Networks 2014, 46 -54.

AMA Style

Ke Li, Ioanis Nikolaidis, Janelle Harms. On the potential of MPT/MPR wireless networks. 39th Annual IEEE Conference on Local Computer Networks. 2014; ():46-54.

Chicago/Turabian Style

Ke Li; Ioanis Nikolaidis; Janelle Harms. 2014. "On the potential of MPT/MPR wireless networks." 39th Annual IEEE Conference on Local Computer Networks , no. : 46-54.

Journal article
Published: 01 August 2014 in Canadian Journal of Civil Engineering
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Effective positioning and tracking of critical construction resources is crucial to fulfilling project objectives in terms of time, cost, and safety. Received signal strength (RSS) based localization methods increasingly become a popular choice in construction applications, especially for indoor scenarios, potentially automating field data acquisition and construction process control. However, the fluctuating nature of collected RSS data due to multipath propagation effects, along with the unavailability of radio signals at certain site locations, hampers effective application of such localization techniques in challenging and dynamic indoor applications. This research evaluates the feasibilities of two RSS-based location tracking techniques, namely, the ranging-based method and the profiling-based method. To verify the positioning accuracy of the two methods, a wireless sensor network system was prototyped for conducting positioning experiments in an indoor carpark, which mimics an enclosed construction site. Experimental results reveal that the ranging-based method performed poorly in the test setting, while on the other hand, the positioning error achieved with the profiling-based method was less than 2.14 m with 95% likelihood. Further, to evaluate the achievable accuracy of this method in a real-world indoor environment, we coupled the profiling-based method with commonly used noise filtering algorithms and conducted field testing in a pipe fabrication shop. With 95% likelihood, consistent positioning accuracy of 1–2 m away from the actual position of a tracked tag was obtained in the fabrication shop, which is deemed sufficient for materials and labor hours tracking in support of productivity analysis. In conclusion, the RSS profiling-based method is found to be an effective method for deployment in real-world indoor settings of construction-related applications.

ACS Style

Meimanat Soleimanifar; Xuesong Shen; Ming Lu; Ioanis Nikolaidis. Applying received signal strength based methods for indoor positioning and tracking in construction applications. Canadian Journal of Civil Engineering 2014, 41, 703 -716.

AMA Style

Meimanat Soleimanifar, Xuesong Shen, Ming Lu, Ioanis Nikolaidis. Applying received signal strength based methods for indoor positioning and tracking in construction applications. Canadian Journal of Civil Engineering. 2014; 41 (8):703-716.

Chicago/Turabian Style

Meimanat Soleimanifar; Xuesong Shen; Ming Lu; Ioanis Nikolaidis. 2014. "Applying received signal strength based methods for indoor positioning and tracking in construction applications." Canadian Journal of Civil Engineering 41, no. 8: 703-716.

Journal article
Published: 01 April 2014 in Energy and Buildings
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ACS Style

Xinming Li; Mustafa Gul; Tanzia Sharmin; Ioanis Nikolaidis; Mohamed Al-Hussein. A framework to monitor the integrated multi-source space heating systems to improve the design of the control system. Energy and Buildings 2014, 72, 398 -410.

AMA Style

Xinming Li, Mustafa Gul, Tanzia Sharmin, Ioanis Nikolaidis, Mohamed Al-Hussein. A framework to monitor the integrated multi-source space heating systems to improve the design of the control system. Energy and Buildings. 2014; 72 ():398-410.

Chicago/Turabian Style

Xinming Li; Mustafa Gul; Tanzia Sharmin; Ioanis Nikolaidis; Mohamed Al-Hussein. 2014. "A framework to monitor the integrated multi-source space heating systems to improve the design of the control system." Energy and Buildings 72, no. : 398-410.

Conference paper
Published: 01 January 2014 in International Conference on Sensor Networks
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ACS Style

Aikaterini Vlachaki; Ioanis Nikolaidis; Janelle Harms. A Study of Channel Classification Agreement in Urban Wireless Sensor Network Environments. International Conference on Sensor Networks 2014, 249 -259.

AMA Style

Aikaterini Vlachaki, Ioanis Nikolaidis, Janelle Harms. A Study of Channel Classification Agreement in Urban Wireless Sensor Network Environments. International Conference on Sensor Networks. 2014; ():249-259.

Chicago/Turabian Style

Aikaterini Vlachaki; Ioanis Nikolaidis; Janelle Harms. 2014. "A Study of Channel Classification Agreement in Urban Wireless Sensor Network Environments." International Conference on Sensor Networks , no. : 249-259.

Journal article
Published: 23 July 2013 in International Journal of Advanced Corporate Learning (iJAC)
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Health care aides (HCAs) are critical to home care, providing a range of services to people with chronic conditions, aging or are unable to care for themselves independently. The current HCA supply will not keep up with this increasing demand without fundamental changes in their work environment. One possible solution to some of the workflow challenges and workplace stress of HCAs is hand-held tablet technology. In order to introduce the use of tablets with HCAs, simulations were developed. Once an HCA was comfortable with the tablet, a simulated client was introduced. The HCA interacted with the simulated client and used the tablet applications to assist with providing care. After the simulations, the HCAs participated in a focus group. HCAs completed a survey before and after the tablet training and simulation to determine their perception and acceptance of the tablet. Future deployment and implementation of technologies in home care should be further evaluated for outcomes.

ACS Style

Sharla King; Lili Liu; Eleni Stroulia; Ioanis Nikolaidis. Using Simulations to Integrate Technology into Health Care Aides' Workflow. International Journal of Advanced Corporate Learning (iJAC) 2013, 6, 28 .

AMA Style

Sharla King, Lili Liu, Eleni Stroulia, Ioanis Nikolaidis. Using Simulations to Integrate Technology into Health Care Aides' Workflow. International Journal of Advanced Corporate Learning (iJAC). 2013; 6 (2):28.

Chicago/Turabian Style

Sharla King; Lili Liu; Eleni Stroulia; Ioanis Nikolaidis. 2013. "Using Simulations to Integrate Technology into Health Care Aides' Workflow." International Journal of Advanced Corporate Learning (iJAC) 6, no. 2: 28.

Conference paper
Published: 01 January 2013 in 2nd International Conference on Sensor Networks
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Timely information of construction resource is always a concern and an essential task for construction engineers and managers. In the recent past, Wireless Sensor Networks (WSNs) have emerged as a promising means to improve the current construction localization applications due to the ease of deployment and expandability to large scale construction projects, low cost, and capacity to function efficiently under dynamic and rough environments. Received Signal Strength Indicator (RSSI) based localization is a popular technique especially for indoor environments, where satellite based positioning is infeasible. This study evaluates multilateration localization, a popular localization technique, in construction environments as well as a second, profiling-based, localization technique. Both techniques RSSI values collected in a WSN. Indoor experiments were conducted and their results reveal that acceptable position accuracy can be obtained with the profiling-based architecture.

ACS Style

Meimanat Soleimanifar; Ming Lu; Ioanis Nikolaidis; Xuesong Shen. Evaluation of RSS-based Position Tracking using WSNs for Resource Localization in an Indoor Construction Environment. 2nd International Conference on Sensor Networks 2013, 189 -192.

AMA Style

Meimanat Soleimanifar, Ming Lu, Ioanis Nikolaidis, Xuesong Shen. Evaluation of RSS-based Position Tracking using WSNs for Resource Localization in an Indoor Construction Environment. 2nd International Conference on Sensor Networks. 2013; ():189-192.

Chicago/Turabian Style

Meimanat Soleimanifar; Ming Lu; Ioanis Nikolaidis; Xuesong Shen. 2013. "Evaluation of RSS-based Position Tracking using WSNs for Resource Localization in an Indoor Construction Environment." 2nd International Conference on Sensor Networks , no. : 189-192.