系统仿真学报 ›› 2019, Vol. 31 ›› Issue (4): 765-770.doi: 10.16182/j.issn1004731x.joss.17-0104E

• 仿真应用工程 • 上一篇    下一篇

基于休眠调度的传感器节点寿命延长路由算法

潘琢金, 石多文, 罗振, 杨华   

  1. 沈阳航空航天大学 计算机学院,辽宁 沈阳 110136
  • 收稿日期:2017-03-07 修回日期:2017-07-04 出版日期:2019-04-08 发布日期:2019-11-20

Extending Lifetime of Sensor Networks Based on Sleep-scheduled Routing Algorithm

Pan Zhuojin, Stuart D. Semujju, Luo Zhen, Yang Hua   

  1. School of Computer Science, Shenyang Aerospace University, Shenyang 110136, China
  • Received:2017-03-07 Revised:2017-07-04 Online:2019-04-08 Published:2019-11-20
  • About author:Zhuojin Pan (1962-), Male, Jilin, China, Masters Degree, Professor, Research direction: Embedded Systems.
  • Supported by:
    Science and Technology Foundation from the Liaoning Education Department (L201626), AVIC Aeronautical Science Foundation (2014ZC54012), Science and Technology Foundation of Liaoning Province (2013024002)

摘要: 在无线传感器网络中,为了使节点能量消耗最小,本文提出一种节能休眠调度树形路由协议(EESSTBRP),其修改PEGASIS中链的形成,依据距离和感测范围创建网络中成对和不成对的节点。成对节点在活动和休眠模式间切换,从而消除冗余数据,节省电池能量;为减少节点在模式之间切换消耗的能量,该协议利用节点能量接近耗尽的点完成转换;为进一步减少能量消耗,该协议利用基于Prim算法的最小生成树机制将数据从活动节点路由到基站。仿真结果表明,与PEGASIS相比,该协议能够提高网络寿命。

关键词: 网络寿命, 休眠调度, 剩余能量, 感测范围

Abstract: In order to minimize energy consumption of sensor nodes in wireless sensor networks, this paper presents an Energy Efficient Sleep-Scheduled Tree-Based Routing Protocol (EESSTBRP) that modifies the chain formation in PEGASIS to create a set of paired and unpaired nodes in the network based on a distance and sensing range threshold. The paired nodes switch between active and sleep modes so as to remove redundant data and save battery power. To minimize energy consumption as nodes switching between the modes, this scheme considers the transitioning to be done based on a point of near depletion of the nodes’ residual energy. To further reduce energy consumption during transmission, this protocol utilizes prim’s minimum spanning tree mechanism to route data from the active nodes to the Base Station (BS). Simulation results show that this proposed mechanism can significantly improve network lifetime in comparison to PEGASIS.

Key words: network lifetime, sleep scheduling, residual energy, sensing range

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