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Energy balanced position-based routing for lifetime maximization of wireless sensor networks

机译:基于能量平衡的基于位置的路由,可最大化无线传感器网络的生命周期

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Maximizing the network lifetime is the fundamental design issue in wireless sensor networks (WSNs). The existing routing algorithms DIR, MFR, GEDIR, and Dijkstra's algorithms select the same set of sensors for a source-destination pair for packet transmission that results in an early dead situation of the sensors, leading to the partition in the networks. In this paper, we present a new position based routing algorithm to fairly use the energy of the sensors to maximize the network lifetime. The forwarding search space (FSS) is introduced to control unnecessary transmissions. A next forwarder selection function is designed based on the residual energy, node degree, distance, and angle. Each time, this function selects different set of sensors for packets transmission, which is the essence of fairly balance the energy consumption among the sensors. Further, the mathematical expression for connectivity probability, expected one hop distance, expected distance between source and destination node, expected hop count, and expected energy consumption are derived. The simulation results are given to validate the analytical results. The experimental results show the proposed algorithm outperforms the state of the art routing algorithms in terms of network lifetime. (C) 2016 Elsevier B.V. All rights reserved.
机译:最大化网络寿命是无线传感器网络(WSN)的基本设计问题。现有的路由算法DIR,MFR,GEDIR和Dijkstra的算法为数据包传输的源-目的地对选择同一组传感器,从而导致传感器过早失效,从而导致网络中的分区。在本文中,我们提出了一种新的基于位置的路由算法,以公平地利用传感器的能量来最大化网络寿命。引入了转发搜索空间(FSS)以控制不必要的传输。根据剩余能量,节点度,距离和角度设计下一个转发器选择功能。每次,此功能都会选择一组不同的传感器进行数据包传输,这是在传感器之间合理平衡能耗的本质。此外,得出了连接概率,预期的一跳距离,源节点和目的节点之间的预期距离,预期的跳数以及预期的能量消耗的数学表达式。给出仿真结果以验证分析结果。实验结果表明,在网络寿命方面,该算法优于最新的路由算法。 (C)2016 Elsevier B.V.保留所有权利。

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