A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications

Nurelmadina, Nahla; Hasan, Mohammad Kamrul; Memon, Imran; Saeed, Rashid A.; Ariffin, Khairul Akram Zainol; Ali, Elmustafa Sayed; Mokhtar, Rania A.; Islam, Shayla; Hossain, Eklas; Hassan, Arif

doi:10.3390/su13010338

Cited by 90 publications

(34 citation statements)

References 60 publications

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“…The proposed method goes to its highest value, which is 50, as compared to fuzzy-IoT, two fuzzy, and FDMS; for this specific value, the vehicle speed and velocity are the same as other clusters' vehicles. The vehicles leave the cluster if the vehicle moves faster or slower velocity than the other vehicles [78][79][80][81][82][83]. The possibilities of vehicle to reside inside the cluster are more when the value of Fuzzy-IoT is increased.…”

Section: Performance Resultsmentioning

confidence: 99%

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

et al. 2021

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Many algorithms use clustering to improve vehicular ad hoc network performance. The expected points of many of these approaches support multiple rounds of data to the roadside unit and constantly include clustering in every round of single-hop data transmission towards the road side unit; however, the clustering in every round maximizes the number of control messages and there could be the possibility of collision and decreases in network energy. Multi-hop transmission prolongs the cluster head node’s lifetime and boosts the network’s efficiency. Accordingly, this article proposes a new fuzzy-clustering-based routing algorithm to benefit from multi-hop transmission clustering simultaneously. This research has analyzed the limitation of clustering in each round, different algorithms were used to perform the clustering, and multi-hop routing was used to transfer the data of every cluster to the road side unit. The fuzzy logic was used to choose the head node of each cluster. Three parameters, (1) distance of each node, (2) remaining energy, and (3) number of neighbors of every node, were considered as fuzzy criteria. The results of this research were compared to various other algorithms in relation to parameters like dead node in every round, first node expire, half node expire, last node expire, and the network lifetime. The simulation results show that the proposed approach outperforms other methods. On the other hand, the vehicular ad hoc network (VANET) environment is vulnerable at the time of data transmission. The NS-2 software tool was used to simulate and evaluate the proposed fuzzy logic opportunistic routing’s performance results concerning end-to-end delay, packet delivery, and network throughput. We compare to the existing protocols, such as fuzzy Internet of Things (IoT), two fuzzy, and Fuzzy-Based Driver Monitoring System (FDMS). The performance comparison also emphasizes an effective utilization of the resources. Simulations on the highway environment show that the suggested protocol has an improved Quality of Service (QoS) efficiency compared to the above published methods in the literature.

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Section: Performance Resultsmentioning

confidence: 99%

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

et al. 2021

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“…CR seems a promising mechanism to address the high demand of the WSN/IoT networks on the frequency resources. Yet, CR-IoT should prove its energy efficiency as well as the spectral efficiency especially for industrial applications [161]. The deployment pattern and the transmission protocol play an essential role to minimize the energy consumption and reduce the interference between nodes [162] leading to enhance the energy efficiency of the CR-IoT network.…”

Section: Dynamic Spectrum Sharing For Wsn Communicationmentioning

confidence: 99%

Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge

Nasser

Hassan

Chaaya

et al. 2021

Sensors

108

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Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth survey on the most recent advances in SS for CR. We start by explaining the Half-Duplex and Full-Duplex paradigms, while focusing on the operating modes in the Full-Duplex. A thorough discussion of Full-Duplex operation modes from collision and throughput points of view is presented. Then, we discuss the use of learning techniques in enhancing the SS performance considering both local and cooperative sensing scenarios. In addition, recent SS applications for CR-based Internet of Things and Wireless Sensors Networks are presented. Furthermore, we survey the latest achievements in Spectrum Sensing as a Service, where the Internet of Things or the Wireless Sensor Networks may play an essential role in providing the CR network with the SS data. We also discuss the utilisation of CR for the 5th Generation and Beyond and its possible role in frequency allocation. With the advancement of telecommunication technologies, additional features should be ensured by SS such as the ability to explore different available channels and free space for transmission. As such, we highlight important future research axes and challenging points in SS for CR based on the current and emerging techniques in wireless communications.

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“…At the expiry of every t r , service consumer i updates T d ði; j; C x ; t 0 Þ using Equation (1). T d ði; j; C x ; t r Þ is flushed to T d ði; j; C x ; t r−1 Þ; and T d ði; j; C x ; t 0 Þ is updated Equation (1). The contents in t r are flushed to make it ready for the next evaluation period:…”

Section: Trust Management Protocolmentioning

confidence: 99%

Adaptive and survivable trust management for Internet of Things systems

Jabeen

Khan

Hamid

et al. 2021

IET Information Security

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The Internet of Things (IoT) is characterized by the seamless integration of heterogeneous devices into information networks to enable collaborative environments, specifically those concerning the collection of data and exchange of information and services. Security and trustworthiness are among the critical requirements for the effective deployment of IoT systems. However, trust management in IoT is extremely challenging due to its open environment, where the quality of information is often unknown because entities may misbehave. A hybrid context-aware trust and reputation management protocol is presented for fog-based IoT that addresses adaptivity, survivability, and scalability requirements. Through simulation, the effectiveness of the proposed protocol is demonstrated.Hard trust relationships are based on cryptographic mechanisms, which allow external security attacks to be addressed [13]. The hard trust protects entities from vulnerabilities and attacks by, among others, allowing access only to authorized entities. Entities in IoT may be resource constrained and therefore unable to tolerate the load of heavy computations of cryptography-based protocols. However, false orThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications

Cited by 90 publications

References 60 publications

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge

Adaptive and survivable trust management for Internet of Things systems

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