This page has only limited features, please log in for full access.
The Industrial Internet of things (IIoT) helps several applications that require power control and low cost to achieve long life. The progress of IIoT communications, mainly based on cognitive radio (CR), has been guided to the robust network connectivity. The low power communication is achieved for IIoT sensors applying the Low Power Wide Area Network (LPWAN) with the Sigfox, NBIoT, and LoRaWAN technologies. This paper aims to review the various technologies and protocols for industrial IoT applications. A depth of assessment has been achieved by comparing various technologies considering the key terms such as frequency, data rate, power, coverage, mobility, costing, and QoS. This paper provides an assessment of 64 articles published on electricity control problems of IIoT between 2007 and 2020. That prepares a qualitative technique of answering the research questions (RQ): RQ1: “How cognitive radio engage with the industrial IoT?”, RQ2: “What are the Proposed architectures that Support Cognitive Radio LPWAN based IIOT?”, and RQ3: What key success factors need to comply for reliable CIIoT support in the industry?”. With the systematic literature assessment approach, the effects displayed on the cognitive radio in LPWAN can significantly revolute the commercial IIoT. Thus, researchers are more focused in this regard. The study suggests that the essential factors of design need to be considered to conquer the critical research gaps of the existing LPWAN cognitive-enabled IIoT. A cognitive low energy architecture is brought to ensure efficient and stable communications in a heterogeneous IIoT. It will protect the network layer from offering the customers an efficient platform to rent AI, and various LPWAN technology were explored and investigated.
Nahla Nurelmadina; Mohammad Hasan; Imran Memon; Rashid Saeed; Khairul Zainol Ariffin; Elmustafa Ali; Rania Mokhtar; Shayla Islam; Eklas Hossain; Arif Hassan. A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications. Sustainability 2021, 13, 338 .
AMA StyleNahla Nurelmadina, Mohammad Hasan, Imran Memon, Rashid Saeed, Khairul Zainol Ariffin, Elmustafa Ali, Rania Mokhtar, Shayla Islam, Eklas Hossain, Arif Hassan. A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications. Sustainability. 2021; 13 (1):338.
Chicago/Turabian StyleNahla Nurelmadina; Mohammad Hasan; Imran Memon; Rashid Saeed; Khairul Zainol Ariffin; Elmustafa Ali; Rania Mokhtar; Shayla Islam; Eklas Hossain; Arif Hassan. 2021. "A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications." Sustainability 13, no. 1: 338.
The channel assignment problem is a complex problem which requires that under certain constraints a minimum number of channels have to be assigned to mobile calls in the wireless mobile system. In this paper, we propose a new scheme, which is based on double band frequency and channel borrowing strategy. The proposed scheme takes into account factors such as limited bandwidth of wireless networks and the capacity of underlying servers involved in processing mobile calls. It aims to ensure end-to-end performance by considering the characteristics of mobile devices. This is achieved by determining the position of users (or mobile stations) in wireless mobile systems. The proposed scheme is simulated in order to investigate its efficiency within a specific area of a large city in Saudi Arabia. Experimental results demonstrate that the proposed scheme significantly improves the performance of mobile calls as well as reduces the blocking when the number of mobile call increases.
Nahla NurElmadina; Ibtehal Nafea; Muhammad Younas. Evaluation of a channel assignment scheme in mobile network systems. Human-centric Computing and Information Sciences 2016, 6, 161 .
AMA StyleNahla NurElmadina, Ibtehal Nafea, Muhammad Younas. Evaluation of a channel assignment scheme in mobile network systems. Human-centric Computing and Information Sciences. 2016; 6 (1):161.
Chicago/Turabian StyleNahla NurElmadina; Ibtehal Nafea; Muhammad Younas. 2016. "Evaluation of a channel assignment scheme in mobile network systems." Human-centric Computing and Information Sciences 6, no. 1: 161.
The next generation of cellular networks is based on the concept of autonomous infrastructure deployment. Deploying femtocells inside a macrocell in a cellular network can significantly increase the macrocell’s capacity in terms of network optimization. However, the deployment of many femtocells within a macrocell’s coverage area causes severe femto-femto interference, or macro-femto interference, which may have an impact on the overall performance of femtocells. Avoiding interference is very important for co-tier or cross-tier femtocells and macrocells. In this paper, we propose a femtocell resource allocation scheme to alleviate the problem of co-tier or cross-tier interference. In the proposed scheme, orthogonal avoid interference with other femtocells. This paper studies a framework for autonomous network optimization based on the method of cognitive interference management to decrease the system’s capacity. Results showed improvement in femtocell QOS.
Nahla NurElmadina; Ibtehal Nafea; Nuha Bihary. Cognitive Downlink Interference LTE Femtocell. Transactions on Petri Nets and Other Models of Concurrency XV 2016, 222 -231.
AMA StyleNahla NurElmadina, Ibtehal Nafea, Nuha Bihary. Cognitive Downlink Interference LTE Femtocell. Transactions on Petri Nets and Other Models of Concurrency XV. 2016; ():222-231.
Chicago/Turabian StyleNahla NurElmadina; Ibtehal Nafea; Nuha Bihary. 2016. "Cognitive Downlink Interference LTE Femtocell." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 222-231.