Energy conservation routing algorithm for wireless sensor networks using hybrid optimisation approach

R. Logambigai, A. Kannan
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引用次数: 8

Abstract

In designing wireless sensor network (WSN), the conversation of energy is an important issue to prolong the network lifetime. Most of the energy is wasted during transmission. To overcome this, an energy efficient routing protocol is proposed in this paper using a hybrid optimisation technique. Moreover, a nature inspired hybrid optimisation approach called bacterial swarm optimisation (BSO) is used in this work for energy optimisation in WSN. BSO is an amalgam of two optimisation techniques namely particle swarm optimisation (PSO) and bacterial foraging optimisation (BFO). BSO is used to identify the optimal next hop node for each gateway which in turn results in optimal route. The optimal relay nodes are selected based on lifetime of the gateways and distance in hops between gateways and base station. The results obtained from the simulation show that this proposed BSO based algorithm outperforms the other existing algorithm for routing.
基于混合优化方法的无线传感器网络节能路由算法
在无线传感器网络设计中,能量传输是延长网络寿命的一个重要问题。大部分能量在传输过程中被浪费了。为了克服这个问题,本文提出了一种使用混合优化技术的节能路由协议。此外,本研究还采用了一种自然启发的混合优化方法——细菌群优化(BSO),用于无线传感器网络的能量优化。BSO是两种优化技术即粒子群优化(PSO)和细菌觅食优化(BFO)的混合体。BSO用于识别每个网关的最优下一跳节点,从而得到最优路由。根据网关的寿命和网关与基站之间的跳数选择最优中继节点。仿真结果表明,基于BSO的路由算法优于现有的路由算法。
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