Multi-Channel Assignment in Wireless Sensor Networks: A Game Theoretic Approach

Q, Yu; Chen, Jiming; Fan, Yanfei; Shen, Xuemin; Sun, Youxian

doi:10.1109/infcom.2010.5461935

Cited by 89 publications

(54 citation statements)

References 15 publications

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“…Game theory is a good mathematical method to research effective cooperative condition and requirement. In [26], the authors investigated multichannel assignment in wireless sensor networks utilizing the game theoretic approach. In [27], the authors proposed adjustable price and rate algorithm based on cooperative stimulating method in ad hoc networks.…”

Section: Related Workmentioning

confidence: 99%

Cooperative Networking towards Maritime Cyber Physical Systems

Yang

Feng

Yang

et al. 2016

International Journal of Distributed Sensor Networks

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An innovative paradigm named Cooperative Cognitive Maritime Cyber Physical Systems (CCMCPSs) is developed to achieve highspeed and low-cost communication services. The analysis of the available white space at sea, as well as the framework, is presented. Specifically, a bilevel game with two stages of PUs-to-SUs (primary users to secondary users) and SUs-to-SUs is proposed, to address the resource allocation issue of Decode-and-Forward (DF) relay mode with maximal-ratio combining (MRC) receiving mode in destination. Stackelberg game with priority is employed between PU and SUs, while a symmetrical system model is considered among SUs-to-SUs. The game theoretic procedure that converges to Nash equilibrium based on the utility and payoff function is illustrated. Simulation results demonstrate that our proposed strategy could effectively increase the throughput as well as the payoffs of the system.

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Section: Related Workmentioning

confidence: 99%

Cooperative Networking towards Maritime Cyber Physical Systems

Yang

Feng

Yang

et al. 2016

International Journal of Distributed Sensor Networks

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“…In sensor networks, Chowdhury et al [13] proposed the dynamic channel allocation (DCA) and studied the related protocol design. Yu et al [14] considered a game theory-based approach which takes into account both the network topology and transmission routing information. Channel selection for multicell orthogonal frequency division multiple access-(OFDMA-) based networks using graph framework was considered in [15].…”

Section: Related Workmentioning

confidence: 99%

Self-Organized Cognitive Sensor Networks: Distributed Channel Assignment for Pervasive Sensing

Tseng

Chien

Marzouki

et al. 2014

International Journal of Distributed Sensor Networks

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We study the channel assignment strategy in multichannel wireless sensor networks (WSNs) where macrocells and sensor nodes are overlaid. The WSNs dynamically access the licensed spectrum owned by the macrocells to provide pervasive sensing services. We formulate the channel assignment problem as a potential game which has at least one pure strategy Nash equilibrium (NE). To achieve the NE, we propose a stochastic learning-based algorithm which does not require the information of other players' actions and the time-varying channel. Cluster heads as players in the game act as self-organized learning automata and adjust assignment strategies based on their own action-reward history. The convergence property of the proposed algorithm toward pure strategy NE points is shown theoretically and verified numerically. Simulation results demonstrate that the learning algorithm yields a 26% sensor node capacity improvement as compared to the random selection, and incurs less than 10% capacity loss compared to the exhaustive search.

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“…In FDMA the problem can also be modeled as a graph-coloring problem, given that no two adjacent nodes are allowed to use the same channel. Yu et al (2010) show that the problem of assigning the channels such that the interference is minimized is NP-hard. They model the problem as a game where every node is a player and the interference is the objective to be minimized.…”

Section: Medium Access Strategiesmentioning

confidence: 99%