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Game algorithm based on link quality Wireless sensor network routing game algorithm based on link quality

机译:基于链路质量无线传感器网络路由游戏算法的基于链路质量的游戏算法

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Aiming at the problems of low data transmission efficiency and uneven energy consumption caused by unreliable link communication in the routing process of wireless sensor networks, this article designs a routing game algorithm based on link quality. In this article, the index for evaluating link quality is defined first. Then, the link quality, node residual energy, and minimum jump transmission strategy are integrated into the utility function to establish a game model to determine the best next hop transmission node. Finally, the routing optimal transmission path is obtained according to the analysis of the existence of Nash equilibrium in the game. In the simulation experiment, the influence of the change of link quality parameters on the performance of the algorithm is analyzed, and the proposed algorithm is compared with non-linear weight particle swarm optimization (NWPSO) algorithm and Low Energy Adaptive Clustering Hierarchy-Improvement (LEACH-IMPT) algorithm in three aspects: the number of surviving nodes, network lifetime, and network energy consumption. The results show that the network lifetime of this method is 16.8% longer than that of LEACH-IMPT algorithm and 7.5% longer than that of NWPSO algorithm. This shows that the algorithm can effectively balance the network energy consumption and prolong the network life cycle. In addition, according to the routing path obtained in the simulation experiment, the optimality of its link quality is verified in the real experimental environment, and the experimental results prove the feasibility of the method in this article in practice.
机译:旨在在无线传感器网络路由过程中不可靠的链路通信引起的低数据传输效率和不均匀能耗的问题,本文设计了一种基于链路质量的路由游戏算法。在本文中,首先定义评估链路质量的索引。然后,链路质量,节点剩余能量和最小跳转传输策略集成到实用程序功能中以建立游戏模型以确定最佳的下一跳传输节点。最后,根据游戏中的纳什均衡存在的分析获得路由最佳传输路径。在仿真实验中,分析了链路质量参数变化对算法性能的影响,并将所提出的算法与非线性重量粒子群优化(NWPSO)算法和低能量自适应聚类层次改进进行了比较( LEACH-IMPT)算法三个方面:幸存节点,网络寿命和网络能耗的数量。结果表明,该方法的网络生命周期比Leach-IMPT算法长16.8%,比NWPSO算法的比较长7.5%。这表明该算法可以有效地平衡网络能量消耗并延长网络生命周期。另外,根据模拟实验中获得的路由路径,在真实的实验环境中验证了其链路质量的最优性,实验结果证明了本文实践中该方法的可行性。

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