电子科技 ›› 2022, Vol. 35 ›› Issue (8): 34-40.doi: 10.16180/j.cnki.issn1007-7820.2022.08.006

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一种移动传感网络中K-栅栏寿命的优化方法

薛亮,王然   

  1. 杭州电子科技大学 计算机学院,浙江 杭州 310018
  • 收稿日期:2021-03-06 出版日期:2022-08-15 发布日期:2022-08-10
  • 作者简介:薛亮(1997-),男,硕士研究生。研究方向:无线传感网络中的无线充电调度以及优化。|王然(1983 -),男,博士,讲师。研究方向:机器学习、无线传感器网络、社交网络安全等。
  • 基金资助:
    浙江省重点研发项目(2020C01067)

An Optimization Method of K-Barrier Lifetime in Mobile Sensor Network

XUE Liang,WANG Ran   

  1. College of Computer Science and Technology,Hangzhou Dianzi University,Hangzhou 310018,China
  • Received:2021-03-06 Online:2022-08-15 Published:2022-08-10
  • Supported by:
    Key R&D Program of Zhejiang(2020C01067)

摘要:

为了提高K-栅栏覆盖网络的寿命,文中将能量收集技术与移动传感网络相结合来构建K-栅栏覆盖,并提出了BCAS算法。通过划分子区域的方式构建K+1条栅栏,将整个时间分为多个时隙。在每个时隙开始前,选择平均剩余能量最大的K条栅栏进行激活。在每个时隙结束后,调度冗余传感器,移动替换掉栅栏中剩余能量小于阈值的传感器,通过多轮调度来延长网络的寿命。仿真实验表明,同MobiBar算法和Single Sensor算法相比,BCAS算法使栅栏网络的生命周期延长了183%;在构建栅栏的平均移动距离方面,BCAS算法分别比MobiBar算法和Single Sensor算法减少了20.6%和12%。

关键词: 无线传感网络, 可移动传感器, 能量收集, 栅栏覆盖, 网络寿命, 调度算法, 睡眠唤醒调度, 时隙划分

Abstract:

In order to improve the lifetime of K-barrier coverage, this study combines energy harvesting technology with mobile sensor network to construct K-barrier coverage, and proposes BCAS algorithm. K+1 barriers are constructed by dividing sub-areas to divide the entire time into multiple time slots. Before the start of each time slot, K barriers are selected with the largest average remaining energy for activation. After each time slot, redundant sensors are scheduled, and the sensors whose remaining energy in the fence is less than the threshold are moved and replaced, and the life of the network is prolonged through multiple rounds of scheduling. Simulation experiments show that compared with the MobiBar algorithm and the Single Sensor algorithm, BCAS algorithm extends the life cycle of the barrier network by an average of 183%. In terms of the average moving distance of the barrier construction, the BCAS algorithm reduces by 20.6% and 12% respectively when compared with the MobiBar algorithm and the Single Sensor algorithm.

Key words: wireless sensor network, movable sensor, energy harvesting, barrier coverage, network lifetime, scheduling algorithm, sleep wake scheduling, time slot division

中图分类号: 

  • TP393