Energy Efficient Node Re-positioning Algorithm for Uniform node Distribution in Wireless Sensor Networks

Aarti Jain
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Abstract

Modelling of wireless sensor networks (WSNs) can be addressed from various aspects, such as energy efficiency, scalability, fault tolerance and network lifetime. Most of the algorithms proposed in literature which address these aspects assume uniform distribution of nodes in the area under consideration (AUC). However, in real life random deployment of nodes is done in the presence of geographical constraints posed by these networks along with limitations of cost & time. In order to ascertain efficient utilization of the proposed algorithms in literature, a method which repositions the nodes to obtain uniform distribution in the given AUC is required. The present work proposes energy efficient molecule equilibrium (EEME) based decentralized algorithm to reposition the sensor nodes (SNs) uniformly which are randomly distributed at the time of network initialization. In the proposed method, the SNs are assumed to be mobile and are proposed to move cautiously so as to minimize the energy consumption incurred due to repositioning of nodes. The performance of algorithm after its simulation has been compared with state-of the-art node repositioning algorithms for WSNs. The results show that the proposed repositioning algorithm outperforms the compared methods in terms of energy consumption, uniformity, coverage and average distance covered by nodes.
无线传感器网络中节点均匀分布的高效节点重定位算法
无线传感器网络(WSNs)的建模可以从能效、可扩展性、容错性和网络寿命等多个方面来解决。文献中提出的大多数解决这些问题的算法都假设节点在考虑区域(AUC)内均匀分布。然而,在现实生活中,节点的随机部署是在这些网络所带来的地理约束以及成本和时间的限制下进行的。为了确保文献中提出的算法的有效利用,需要一种在给定AUC内重新定位节点以获得均匀分布的方法。本文提出了一种基于能量高效分子平衡(EEME)的去中心化算法,对网络初始化时随机分布的传感器节点(SNs)进行均匀重新定位。在本文提出的方法中,假设SNs是可移动的,并建议谨慎移动,以最小化由于节点重新定位而产生的能量消耗。仿真后的算法性能与现有的无线传感器网络节点重定位算法进行了比较。结果表明,所提重定位算法在能耗、均匀性、覆盖范围和节点平均覆盖距离等方面均优于对比方法。
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