Abstract
Considering performance and safety of cyber-physical system (CPS), data transmission between devices arranged within the same working area and outside network must be achieved by gateways. Therefore, to guarantee the reliability of the system, one working area is often covered by multiple gateways, and each gateway has limited bandwidth. For its own benefit, each device intends to occupy as much bandwidth as possible. That will occur imbalance and degrade performance of the system. In this paper, we propose an evolutionary game based gateway selection algorithm which can guarantee the fairness among devices in CPS. The load balancing of gateways can also be achieved by using this algorithm. By using evolutionary game theory, we analyze the behaviors of devices when they obtained less bandwidth than the average. The bandwidth allocation model of gateways has been proposed, and we formulate the gateway switching procedure of devices as an evolutionary game. We propose the replicator dynamics of this evolutionary game and analyze the existence and stabilization of the evolutionary equilibrium. Simulation results show that the proposed algorithm converges fast and minimize the maximal difference between any two devices of the same kind.
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Acknowledgements
This work is supported in part by the Fundamental Research Foundation of Universities in Heilongjiang Province for Youth Innovation Team (RCYJTD201805), Fundamental Research Foundation of Universities in Heilongjiang Province for Research and Innovation (KJCXZD201710).
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Wang, H. (2019). Evolutionary Game Based Gateway Selection Algorithm in Cyber-Physical System. In: Biagioni, E., Zheng, Y., Cheng, S. (eds) Wireless Algorithms, Systems, and Applications. WASA 2019. Lecture Notes in Computer Science(), vol 11604. Springer, Cham. https://doi.org/10.1007/978-3-030-23597-0_26
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DOI: https://doi.org/10.1007/978-3-030-23597-0_26
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