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首页> 外文期刊>Arabian Journal for Science and Engineering >ECS: An Energy-Efficient Approach to Select Cluster-Head in Wireless Sensor Networks
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ECS: An Energy-Efficient Approach to Select Cluster-Head in Wireless Sensor Networks

机译：ECS：一种在无线传感器网络中选择簇头的节能方法

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摘要

In Wireless Sensor Networks, usually sensor nodes suffer from limited battery power. It is a difficult task to work with sensor nodes in an energy-efficient way. To work with this claim, in this work authors propose a Cluster-Head (CH) selection approach named as Energy-Efficient Approach to select Cluster Head (ECS) which works with two algorithms: ECHSA-1 and ECHSA-2. The ECHSA-1 algorithm works with Nash Equilibrium (NE) decision of the game theory. Here, each player in a game is considered as a cluster for both ECHSA-1 and ECHSA-2. The players select their best strategy according to the node's residual energy. But, ECHSA-1 algorithm suffers from multiple NEs. So, ECHSA-2 algorithm is proposed based on the Sub-game Perfect Nash Equilibrium (SPNE). Based on the SPNE decision, CHs are selected. The simulation results show that the network lifetime is longer in case of ECS as compared to the baseline algorithms such as UCR, DEEC, and BEEG.
机译：在无线传感器网络中，通常传感器节点的电池电量有限。以节能方式使用传感器节点是一项艰巨的任务。为了满足这一要求，作者在这项工作中提出了一种簇头（CH）选择方法，称为“节能方法”来选择簇头（ECS），该方法与两种算法一起使用：ECHSA-1和ECHSA-2。 ECHSA-1算法与博弈论的纳什均衡（NE）决策一起使用。在这里，游戏中的每个玩家都被视为ECHSA-1和ECHSA-2的集群。玩家根据节点的剩余能量选择最佳策略。但是，ECHSA-1算法存在多个网元。因此，提出了基于子博弈完美纳什均衡（SPNE）的ECHSA-2算法。根据SPNE决定，选择CH。仿真结果表明，与基线算法（例如UCR，DEEC和BEEG）相比，使用ECS的网络寿命更长。

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