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On Lifetime Enhancement of Super Nodes based Wireless Sensor Networks by using Sine Cosine Algorithm

机译:基于正弦余弦算法的基于超节点的无线传感器网络生命周期增强

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摘要

Wireless Sensor Networks (WSNs) are consists of many tiny sensing devices called nodes to sense, compute and transmit the data. These nodes are made of transducer, memory, battery, micro-controller and an antenna for the communication of data from node to sinks. Nodes used in the networks are having energy constraints as they are usually battery powered and hence it is not always feasible to change the battery due to odd terrain of deployment. For the managements of these limited energy resources of WSNs various algorithms have been proposed and implemented. In this paper we have implemented the Sine Cosine Optimization algorithm in routing and clustering of WSNs for the optimizing lifetime of the Wireless Sensor Networks. Higher energy nodes are deployed to work as the cluster head to enhance the lifetime of WSNs and effect of using higher energy nodes are also studied for two different position of base station (BS). Results of this algorithm are compared with the Genetic Algorithm and Particle Swarm Optimization Algorithm.
机译:无线传感器网络(WSN)由许多称为节点的微型传感设备组成,用于传感,计算和传输数据。这些节点由换能器,存储器,电池,微控制器和用于将数据从节点传输到接收器的天线组成。网络中使用的节点具有能量约束,因为它们通常由电池供电,因此由于部署的地形奇特,更换电池并不总是可行的。为了管理WSN的这些有限的能源,已经提出并实现了各种算法。在本文中,我们在WSN的路由和群集中实现了Sine余弦优化算法,以优化无线传感器网络的生命周期。部署了较高能量的节点以充当群集头,以延长WSN的寿命,并且还针对两个不同位置的基站(BS)研究了使用较高能量的节点的效果。将该算法的结果与遗传算法和粒子群优化算法进行了比较。

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