Distributed coalition formation game for enhancing cooperative spectrum sensing in cognitive radio<i>ad hoc</i>networks

Muthukkumar, Rajendran; Duraisamy, Manimegalai

doi:10.1049/iet-net.2018.5010

Cited by 9 publications

(3 citation statements)

References 42 publications

(73 reference statements)

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“…Ref. [24] explored an important tradeoff of CSS among SUs in cognitive radio networks and proposed a distributed coalition formation game based on genetic algorithms to select the optimal coalition leader to motivate SUs to actively participate. Ref.…”

Section: Relate Workmentioning

confidence: 99%

Free-Rider Games for Cooperative Spectrum Sensing and Access in CIoT Networks

Jiang¹,

Lin

et al. 2023

Sensors

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With the rapid development of technologies such as wireless communications and the Internet of Things (IoT), the proliferation of IoT devices will intensify the competition for spectrum resources. The introduction of cognitive radio technology in IoT can minimize the shortage of spectrum resources. However, the open environment of cognitive IoT may involve free-riding problems. Due to the selfishness of the participants, there are usually a large number of free-riders in the system who opportunistically gain more rewards by stealing the spectrum sensing results from other participants and accessing the spectrum without spectrum sensing. However, this behavior seriously affects the fault tolerance of the system and the motivation of the participants, resulting in degrading the system’s performance. Based on the energy-harvesting cognitive IoT model, this paper considers the free-riding problem of Secondary Users (SUs). Since free-riders can harvest more energy in spectrum sensing time slots, the application of energy harvesting technology will exacerbate the free-riding behavior of selfish SUs in Cooperative Spectrum Sensing (CSS). In order to prevent the low detection performance of the system due to the free-riding behavior of too many SUs, a penalty mechanism is established to stimulate SUs to sense the spectrum normally during the sensing process. In the system model with multiple primary users (PUs) and multiple SUs, each SU considers whether to free-ride and which PU’s spectrum to sense and access in order to maximize its own interests. To address this issue, a two-layer game-based cooperative spectrum sensing and access method is proposed to improve spectrum utilization. Simulation results show that compared with traditional methods, the average throughput of the proposed TL-CSAG algorithm increased by 26.3% and the proposed method makes the SUs allocation more fair.

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Section: Relate Workmentioning

confidence: 99%

Free-Rider Games for Cooperative Spectrum Sensing and Access in CIoT Networks

Jiang¹,

Lin

et al. 2023

Sensors

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“…Clustering is one effective method in WSN [34][35][36][37][38] to save energy and maximize network life. In the cluster system, WSN nodes are divided into clusters and the cluster header (CH) acts as a node to coordinate other members of each cluster.…”

Section: Related Workmentioning

confidence: 99%

Coalition Formation among the Cooperative Agents for Efficient Energy Consumption

2021

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Energy saving is a significant research area in Saudi Arabia; however, significant problems have emerged related to its distribution and consumption. Use of an agent is assumed to combat these problems by forming efficient coalitions to control the energy consumption and energy distribution process. This study presents a novel algorithm for distributing the value calculation among the cooperative agents. This is likely to reduce the consumption of energy and extend the coalition lifetime used. The developed algorithm is compared with the basic modified coalition formation algorithm for evaluating its effectiveness. The results showed a reduction in cooling consumption by 20% after applying optimization algorithms. The amount of reduction in the cooling consumption reflects a 31% reduction in expected cooling costs, without affecting the household comfort. Therefore, the study concludes that DNsys provided better performance than the NNsys.

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“…A large number of investigations by the Federal Communication Commission show that the usage of spectrum resources is extremely unbalanced. Some authorized frequency bands are very crowded, while most of the others are idle [1]. Therefore, how to use spectrum effectively has become an urgent problem to be solved.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Based Incentive Mechanism for Spectrum Sharing in IoV

Li¹,

Zhao³

et al. 2022

Wireless Communications and Mobile Computing

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In this paper, we design a blockchain-based incentive mechanism for the problem of low-level participation of primary users caused by location privacy leakage during spectrum data sharing in the Internet of Vehicles (IoV). First, we propose a K -anonymous location protection scheme for multiuser cooperation, which can protect the location privacy of primary users by generalizing their location information through the construction of anonymous areas. Then, we design an incentive mechanism, which performs reporting and adjudication strategy through the transaction stored in blockchain. Simulation results indicate that the proposed scheme can effectively prevent the privacy leakage of primary users’ location and encourage them to actively participate in spectrum sharing in IoV.

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Distributed coalition formation game for enhancing cooperative spectrum sensing in cognitive radioad hocnetworks

Cited by 9 publications

References 42 publications

Free-Rider Games for Cooperative Spectrum Sensing and Access in CIoT Networks

Free-Rider Games for Cooperative Spectrum Sensing and Access in CIoT Networks

Coalition Formation among the Cooperative Agents for Efficient Energy Consumption

Blockchain-Based Incentive Mechanism for Spectrum Sharing in IoV

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