CSO BASED ENERGY EFFICIENT CLUSTER PROTOCOL FOR WIRELESS SENSOR NETWORKS

D. Chandirasekaran, T. Jayabarathi
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Abstract

In wireless sensor networks (WSNs) energy saving has become one of the prime optimization problem and clustering technique has been considered as most efficient techniques to achieve the same. The selection of cluster heads (CHs) plays a vital role in hierarchical based WSNs as it consume more energy owing to its additional duty of receiving, aggregating the data from the cluster member nodes and transmitting the same to the base station (BS). Improper selection of CHs causes impact on network life time. In order to have an energy efficient network a suitable optimization algorithm is to be adopted to select the CHs. We propose a cluster protocol based on Cat Swarm Optimization (CSO) algorithm to reduce the energy consumption during cluster setup phase and transmission phase. The CSO cluster protocol is developed by considering intra-cluster distance of nodes to CH and residual energy of cluster member nodes. The algorithm is tested extensively on various scenarios of WSNs, varying number of sensor nodes and the CHs. The energy efficient scheme of proposed CSO performance is compared with other well-known protocols such as Low Energy Adaptive Clustering Hierarchy -Centralized (LEACH-C) and Particle Swarm Optimization (PSO) based protocol to prove the superiority of it.
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基于CSO的无线传感器网络节能集群协议
在无线传感器网络中,节能已成为主要的优化问题之一,而聚类技术被认为是实现节能的最有效技术。簇头的选择在基于分层的wsn中起着至关重要的作用,因为簇头的选择需要接收、聚合来自集群成员节点的数据并将其发送到基站(BS),从而消耗更多的能量。CHs选择不当会影响网络寿命。为了得到一个高效的网络,需要采用合适的优化算法来选择CHs。为了降低集群建立阶段和传输阶段的能耗,提出了一种基于Cat群优化算法的集群协议。考虑集群内节点到CH的距离和集群成员节点的剩余能量,开发了CSO集群协议。该算法在不同场景的wsn、不同数量的传感器节点和CHs上进行了广泛的测试。通过与低能量自适应聚类分层-集中式(LEACH-C)和基于粒子群优化(PSO)的协议进行比较,证明了所提出的CSO性能节能方案的优越性。
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