Dual Sink Based-Energy Aware Unequal Clustering Routing Algorithm for Continuous Monitoring Applications in Wireless Sensor Network

Mukil Alagirisamy, C. Chow, Kamarul Ariffin bin Noordin
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引用次数: 1

Abstract

Wireless sensor network is characterized by tiny sensor nodes that are deployed within the target area to observe certain physical quantities. Clustering is a significant method to increase energy efficiency and network lifetime of WSN. The identical clusters near to the sink form a part of fixed path towards the sink and hence may waste more energy resulting in hot spot problem. In applications like continuous monitoring, usage of static sink, makes the situation more critical as the nodes far away from sink continuously transmits data. A combination of unequal clustering algorithm and mobile sink can solve hot spot problem. But while using mobile sink, we need to consider its feasibility to be used in inaccessible areas as well as the delay constraints which plays a dynamic role in continuous monitoring applications. In this paper we propose an Energy Aware Unequal Clustering algorithm using a static sink and mobile sink. The paper suggests smaller size clusters around static sink and the entire clusters in the network transmit their data only to their nearest static or mobile sink. Simulation results confirm that EAUC-DUAL outperforms LEACH with static sink and LEACH with dual sink in terms of network lifetime and energy consumption.
基于双汇聚的能量感知不均匀聚类路由算法在无线传感器网络连续监测中的应用
无线传感器网络的特点是在目标区域内部署微小的传感器节点,以观察某些物理量。聚类是提高无线传感器网络能源效率和网络寿命的重要方法。靠近汇聚点的相同星团构成了通往汇聚点的固定路径的一部分,因此可能会浪费更多的能量,从而导致热点问题。在像连续监控这样的应用中,使用静态汇聚会使情况变得更加危急,因为远离汇聚的节点会不断地传输数据。将不均匀聚类算法与移动汇聚相结合可以解决热点问题。但在使用移动接收器时,需要考虑其在不可到达区域的可行性以及在连续监测应用中发挥动态作用的延迟约束。本文提出了一种基于静态集和移动集的能量感知不平等聚类算法。本文建议在静态接收器周围较小的集群和网络中的整个集群仅将其数据传输到最近的静态或移动接收器。仿真结果表明,EAUC-DUAL在网络寿命和能耗方面优于静态sink的LEACH和双sink的LEACH。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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