面向集合树的网状路由优化,延长无线传感器网络的生命周期

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Distributed Sensor Networks Pub Date : 2022-03-01 DOI:10.1177/15501329221085495
Li-yong Yuan, Feilong Lin
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引用次数: 1

摘要

无线传感器网络中的路由优化有助于减少无线传感器网络的维护开销,延长无线传感器网络寿命。基于集合树的路由协议不需要路由发现,由于计算和存储开销小,已被广泛使用。然而,使用基于集合树的路由协议,一些节点很容易成为瓶颈点,并很快耗尽能量。针对这一缺点,本文提出了一种面向集合树的网格路由策略,该策略协同消耗相邻传感器节点之间的剩余能量。面向集合树的网格路由被公式化为线性规划问题,目的是最大化网络寿命。通过对优化问题的求解,得到了网格路由和数据转发的最优方案。实验仿真表明,所提出的面向集合树的网状路由优化策略可以将网络寿命延长20%以上。
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Collection tree-oriented mesh routing optimization for extending the lifetime of wireless sensor networks
Routing optimization in wireless sensor networks facilitates to reduce the overhead of the maintaining of wireless sensor networks and extend the lifetime of wireless sensor networks. Collection tree-based routing protocol, which does not require route discovery, has been widely used for low overheads of calculation and storage. However, with collection tree-based routing protocol, some nodes easily become the bottleneck points and quickly run out of the energy. To deal with this drawback, this article proposes a collection tree-oriented mesh routing strategy with cooperatively consuming the residual energy among the neighboring sensor nodes. The collection tree-oriented mesh routing is formulated into a linear programming problem with the purpose to maximize the network lifetime. By solving the optimization problem, the optimal mesh routing and data forwarding scheme is derived. Experimental simulations show that the proposed collection tree-oriented mesh routing optimization strategy can extend the network lifetime by more than 20%.
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来源期刊
CiteScore
6.50
自引率
4.30%
发文量
94
审稿时长
3.6 months
期刊介绍: International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.
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