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Improving on HEED protocol of wireless sensor networks using non probabilistic approach and fuzzy logic (HEED-NPF)

机译:使用非概率方法和模糊逻辑改善无线传感器网络的理论协议(Heed-NPF)

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摘要

Clustering sensor nodes is an effective topology control for increasing network lifetime and scalability. It also, balances the load on the sensor nodes. HEED is a well known distributed clustering protocol that uses both energy and communication cost to elect Cluster Heads (CHs) in a probabilistic way. This paper improves HEED protocol using fuzzy logic and a non probabilistic approach for CH election. Fuzzy logic control is capable of making wisely decisions from blending different environmental parameters. The protocol uses nodes remaining energy and two fuzzy descriptors, node degree and node centrality, to elect CHs. On the other hand, the probabilistic model of HEED for electing tentative CHs is eliminated by introducing delay, inversely proportional to the nodes residual energy, for each node. Therefore, tentative CHs are selected according to their priority. Simulation results demonstrate that our approach performs better than HEED in terms of network lifetime and also cluster formation.
机译:聚类传感器节点是用于增加网络生命周期和可扩展性的有效拓扑控制。它还平衡了传感器节点上的负载。 HEED是一个众所周知的分布式聚类协议,它使用能量和通信成本以概率的方式选出群集头(CHS)。本文采用模糊逻辑和诸如CH选举的非概率方法来提高了HEED协议。模糊逻辑控制能够明智地决定不同的环境参数。该协议使用节点剩余能量和两个模糊描述符,节点度和节点中心,选择CHS。另一方面,通过引入延迟,对每个节点的延迟,与节点剩余能量成反比地成反比,消除了临界CHS的概率模型。因此,根据其优先级选择暂定的CH。仿真结果表明,我们的方法在网络寿命方面表现优于HEED,并且也表现出集群形成。

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