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首页> 外文期刊>IEEE sensors journal >Distributed Topology Control With Lifetime Extension Based on Non-Cooperative Game for Wireless Sensor Networks
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Distributed Topology Control With Lifetime Extension Based on Non-Cooperative Game for Wireless Sensor Networks

机译:基于非合作博弈的无线传感器网络具有生命周期延长的分布式拓扑控制

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摘要

In a large and complex distributed sensor network, the individual sensor directly communicates only with its neighboring sensors. Despite being restricted to such local communications, the network itself should be self-organizing to maintain certain desirable properties, such as network connectivity and lifetime maximization. Topology control is a technique to determine the optimal transmit parameters for each sensor, such that the network topology has the best possible network performance. In this paper, we investigate a dynamic topology control scheme to improve the network lifetime for wireless sensor networks in the presence of selfish sensors. A non-cooperative game aided topology control approach is developed for designing energy-efficient and energy balanced network topologies dynamically. Each sensor in the topology control game tries to minimize its unwillingness for constructing a connected network according to its residual energy and transmit power. We prove the existence of Nash equilibrium (NE) and demonstrate that the NE is Pareto optimal as well. Specifically, a fully distributed algorithm—topology control with lifetime extension (TCLE)—is proposed to construct dynamic network topologies. The topologies derived by TCLE algorithm can improve the network lifetime significantly as compared with existing algorithms. Simulations demonstrate the efficiency of our TCLE algorithm.
机译:在大型且复杂的分布式传感器网络中,单个传感器仅与其相邻的传感器直接通信。尽管仅限于此类本地通信,但网络本身应该是自组织的,以维护某些理想的属性,例如网络连接性和生命周期最大化。拓扑控制是一种确定每个传感器的最佳传输参数的技术,以使网络拓扑具有最佳的网络性能。在本文中,我们研究了一种动态拓扑控制方案,以在存在自私传感器的情况下提高无线传感器网络的网络寿命。开发了一种非合作游戏辅助拓扑控制方法,用于动态设计节能和能量平衡的网络拓扑。拓扑控制游戏中的每个传感器都试图根据其剩余能量和发射功率,将其不愿意构建连接网络的情况降到最低。我们证明了纳什均衡(NE)的存在,并证明了NE也是帕累托最优的。具体来说,提出了一种完全分布式算法-具有生命周期扩展的拓扑控制(TCLE)-来构建动态网络拓扑。与现有算法相比,TCLE算法得出的拓扑可以显着提高网络寿命。仿真证明了我们的TCLE算法的效率。

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