Cluster-Head Restricted Energy Efficient Protocol (CREEP) for Routing in Heterogeneous Wireless Sensor Networks
Cluster-Head Restricted Energy Efficient Protocol (CREEP) for Routing in Heterogeneous Wireless Sensor Networks
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DOI：
10.1007/s11277-018-5649-x
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发表时间：
2018-06-01
影响因子：
2.2
通讯作者：
Vig, Renu
中科院分区：
文献类型：
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作者：
Dutt, Suniti;Agrawal, Sunil;Vig, Renu
大量协作传感器节点组成了无线传感器网络（WSN）。这些传感器节点配备了低成本和低功耗的传感器。路由协议负责确保通信，同时考虑系统的能量限制。实现更长的网络生命周期是无线传感器网络的当前需求。目前，许多网络层协议正在考虑异构WSN，其中与其余节点相比，一定数量的传感器被赋予更高的能量。在本文中，我们批判性地分析了各种固定异构聚类算法，并评估了它们在移动节点设置中的生命周期和吞吐量性能。尽管分布式能源效率集群（DEEC）方案的许多新变体在能源效率方面执行得很好，但由于大量簇头（CH）的计算和选择，它们面临着较高的系统复杂性。簇头受限节能协议（CREEP）形式的协议被提出来克服这一限制，并通过修改两级异构 WSN 中的 CH 选择阈值来进一步提高网络寿命。仿真结果表明，与固定和移动 WSN 场景中的其他解决方案相比，所提出的解决方案在网络寿命方面有所改善。
A magnanimous number of collaborative sensor nodes make up a Wireless Sensor Network (WSN). These sensor nodes are outfitted with low-cost and low-power sensors. The routing protocols are responsible for ensuring communications while considering the energy constraints of the system. Achieving a higher network lifetime is the need of the hour in WSNs. Currently, many network layer protocols are considering a heterogeneous WSN, wherein a certain number of the sensors are rendered higher energy as compared to the rest of the nodes. In this paper, we have critically analysed the various stationary heterogeneous clustering algorithms and assessed their lifetime and throughput performance in mobile node settings also. Although many newer variants of Distributed Energy-Efficiency Clustering (DEEC) scheme execute proficiently in terms of energy efficiency, they suffer from high system complexity due to computation and selection of large number of Cluster Heads (CHs). A protocol in form of Cluster-head Restricted Energy Efficient Protocol (CREEP) has been proposed to overcome this limitation and to further improve the network lifetime by modifying the CH selection thresholds in a two-level heterogeneous WSN. Simulation results establish that proposed solution ameliorates in terms of network lifetime as compared to others in stationary as well as mobile WSN scenarios.