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Maximizing the network lifetime of clustered-based WSN using probability of residual energy

机译:使用剩余能量概率最大化基于集群的WSN的网络生命周期

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The deployment of Wireless Sensor Network(WSN) must be done with some kind of advanced techniques so that it can mitigate the energy constraints. An existing, clustered-based routing protocol known as Low-Energy Adaptive Clustering Hierarchy (LEACH) was studied, the outcome is an improved algorithm based on LEACH. The performance of these algorithms was studied through simulations using OMNeT++. In the original LEACH, the Cluster Heads selections were based on a distributed algorithm. For the modified algorithm, the improvement was done in the Cluster Head selection process. The selection process takes into account the residual energy of each node and used its probability outcome for the determination of the threshold value for next round. The results concluded that the performance of the modified algorithm is better than the original LEACH, the outcome will result in maximizing network lifetime.
机译:无线传感器网络(WSN)的部署必须采用某种先进技术完成,以便可以减轻能量约束。研究了称为低能量自适应聚类层次结构(LEACH)的现有基于聚类的路由协议,结果是一种基于浸出的改进算法。通过使用OMNET ++的模拟研究了这些算法的性能。在原始LEACH中,群集头选择基于分布式算法。对于修改的算法,改进是在群集头选择过程中完成的。选择过程考虑了每个节点的剩余能量,并使用其概率结果来确定下一轮的阈值。结果得出结论,修改算法的性能优于原始射击,结果将导致网络寿命最大化。

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