改进的分布式容错聚类算法用于WSN的容错

Mandeep Kaur, P. Garg
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引用次数: 10

摘要

无线传感器网络是通过在环境中部署传感器节点来构建的。传感器代替人在现场执行监测任务。传感器节点在实时环境中自由部署。传感器节点使用内置电池工作,因为它不可能在实时场景中提供电力。传感器节点在网络中自由部署,不受任何监督。网络中存在故障发生的概率。介绍了各种解决故障和降低能耗的技术和算法,如Leach、EFDCB等。本文提出了一种改进的分布式容错聚类容错算法(IDFCA)来提高WSN的寿命。分布式容错聚类算法(DFCA)存在一个缺点,即相邻CH的负载增大,能耗增大。改进的分布式容错算法,IDFCA技术通过引入选择CH的层次形成过程来降低能量消耗,并且克服了故障节点的情况。在NS2环境下对该算法进行了仿真,并与DFCA进行了比较。仿真结果表明,该方法优于DFCA,可以延长网络的生存期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Distributed Fault Tolerant Clustering Algorithm for Fault Tolerance in WSN
Wireless sensor network is built by deploying sensor nodes in the environment. Sensors perform the monitoring task substituting human presence at the site. Sensor nodes are freely deployed in the real time environment. Sensor nodes work on in-built batteries because it's not possible to provide power in the real time scenarios. Sensor nodes are freely deployed in the network without any supervision. Probability for the occurrence of fault in the network exists. Various techniques and algorithms are introduced to tackle the fault and reduce the energy consumption like Leach, EFDCB, etc. In this paper, we proposed an algorithm to improve life time of WSN by Improved distributed fault tolerant clustering algorithm for fault tolerance (IDFCA). Distributed fault tolerant clustering algorithm (DFCA) for fault tolerance has a drawback as the load on neighbouring CH increase and energy consumption is more. Improved distributed fault tolerant algorithm, IDFCA technique works to reduce the energy consumption by introducing hierarchy formation process of selecting CH and it also overcome the situation of faulty node. The performance of this new algorithm is evaluated by simulating it in NS2 environment and compared with DFCA. Simulation results show that it performs better than DFCA and thus can prolong the lifetime of the network.
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