计算机应用 ›› 2018, Vol. 38 ›› Issue (3): 758-762.DOI: 10.11772/j.issn.1001-9081.2017082130

• 网络与通信 • 上一篇    下一篇

多移动汇聚节点的无线传感网中基于服务质量的能耗

王漫漫, 束永安   

  1. 安徽大学 计算机科学与技术学院, 合肥 230601
  • 收稿日期:2017-09-01 修回日期:2017-10-17 出版日期:2018-03-10 发布日期:2018-03-07
  • 通讯作者: 王漫漫
  • 作者简介:王漫漫(1989-),女,河南灵宝人,硕士研究生,主要研究方向:无线传感网;束永安(1966-),男,安徽合肥人,教授,博士,主要研究方向:无线传感网、软件定义网络、下一代网络。
  • 基金资助:
    安徽省自然科学基金资助项目(1408085MF125)。

Energy consumption of WSN with multi-mobile sinks considering QoS

WANG Manman, SHU Yong'an   

  1. College of Computer Science and Technology, Anhui University, Hefei Anhui 230601, China
  • Received:2017-09-01 Revised:2017-10-17 Online:2018-03-10 Published:2018-03-07
  • Supported by:
    This work is partially supported by Natural Science Foundation of Anhui Province (1408085MF125).

摘要: 针对无线传感网(WSN)中传感节点能耗过高、传输时延过长、数据完整性过差的问题,提出一种基于多移动汇聚节点考虑服务质量(QoS)的路由算法——时延敏感和数据完整性(MSTSDI)算法。首先,通过从基站接收信号的强度判断节点的密度,用K-means聚类算法将传感网划分成自治区域;其次,给每个自治区域分配一个移动汇聚节点,利用支持向量回归(SVR)的方法确定移动汇聚节点的轨迹;最后,引入深度引力域和队列引力域,通过Improved-IDDR算法对时延敏感数据包和数据完整性要求高的数据包进行传输。理论分析和仿真表明,与GLRM算法和LEACH算法相比,Improved-IDDR算法的路由策略的能耗下降幅度分别为21.2%和23.7%;而该算法的时延分别降低了15.23%和17.93%;该算法的所传输数据包的完整性也更好。实验结果表明,MSTSDI在传感网络中能够有效提高系统的性能。

关键词: 多移动汇聚节点, 能耗, 数据完整性, 时延敏感性, 无线传感网

Abstract: Concerning the excessively high energy consumption, long transmission delay and poor data integrity of nodes in Wireless Sensor Network (WSN),a routing algorithm named MSTSDI (Multi-Sink Time Sensitive Data Integrity) based on multi-mobile sinks considering Quality of Service (QoS) was proposed. Firstly, The density of the nodes was determined by the strength of the signal received from the base station,and the WSN was divided into autonomous areas according to the K-means theory. Secondly, a mobile sink was assigned to each autonomous area, and the trajectory of the mobile sink was determined by using Support Vector Regression (SVR). Finally, the depth and queue potential fields were introduced to transmit data packets with high sensitivity and high data integrity through Improved-IDDR (Integrity and Delay Differentiated Routing) algorithm. Theoretical analysis and simulation results showed that compared with GLRM (Grid-based Load-balanced Routing Method) algorithm and LEACH (Low Energy Adaptive Clustering Hierarchy protocol) algorithm, the energy consumption of routing strategy improved-IDDR was decreased by 21.2% and 23.7%; and the end-to-end delay of the algorithm was decreased by 15.23% and 17.93%; the data integrity was better. Experimental results showed that MSTSDI can effectively improve the performance of the system in real networks.

Key words: multi-mobile sink, energy consumption, data integrity, delay differentiation, Wireless Sensor Network (WSN)

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