An Improved Visual Force Algorithm for Node Deployment Strategy in Wireless Sensor Network

被引:0
|
作者
Bao, Xirong [1 ]
Yang, Ming [2 ]
Zhang, Xuefeng [2 ]
机构
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
[2] Northeastern Univ, Sch Sci, Shenyang 110004, Peoples R China
来源
PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年
关键词
WSNs; Coverage; Deployment Algorithm; Mobility;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The effectiveness of cluster-based distributed sensor networks depends to a large extent on the coverage provided by the sensor deployment. In this paper, an improved visual forces based sensor deployment algorithm, namely URE-VFA (Uncovered Region Exploration and Visual Force Algorithm), is proposed to enhance the coverage after an initial random deployment of sensors. The new algorithm decides a new location on not only the combination of attractive and repulsive forces but the uncovered region around sensors. Once the effective sensor positions are identified, a one-time movement with energy consideration incorporated is carried out, i.e., the sensors are redeployed to these positions. Compared with the performance of VFA, the new algorithm provides better coverage than that by VFA in less number of iterations with the same number of sensor nodes. Compared with that of UREA, new algorithm reduces the average mobile distance of nodes so as to save energy consumption. The simulation shows this algorithm provides better coverage than that by VFA, and it reduces power consumption.
引用
收藏
页码:2216 / 2219
页数:4
相关论文
共 50 条
  • [41] A Molecular Force Field-Based Optimal Deployment Algorithm for UAV Swarm Coverage Maximization in Mobile Wireless Sensor Network
    Wang, Xi
    Tan, Guan-zheng
    Lu, Fan-Lei
    Zhao, Jian
    Dai, Yu-si
    PROCESSES, 2020, 8 (03)
  • [42] Energy Efficient Node Deployment Technique for Heterogeneous Wireless Sensor Network based Object Detection
    Dev, Jayashree
    Mishra, Jibitesh
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (09) : 650 - 659
  • [43] Switching Algorithm with Prediction Strategy for Maximizing Lifetime in Wireless Sensor Network
    Yi, Chuan-Jun
    Yang, Geng
    Dai, Hua
    Liu, Liang
    Li, Ning
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
  • [44] A multi-group dragonfly algorithm for application in wireless sensor network deployment problem
    Wang, Xiaopeng
    Chu, Shu-Chuan
    Chao, Han-Chieh
    Pan, Jeng-Shyang
    INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2021, 37 (04) : 227 - 239
  • [45] Probabilistic sensor deployment in wireless sensor network: A new approach
    Rahman, Md. Obaidur
    Razzaque, Md. Abdur
    Hong, Choong Seon
    9TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY: TOWARD NETWORK INNOVATION BEYOND EVOLUTION, VOLS 1-3, 2007, : 1419 - +
  • [46] Node Deployment of Wireless Sensor Networks in Long Narrow Area
    Sun, Xu-guang
    He, Jing-sha
    Yang, Ming-xin
    Sun, Xiao-ling
    MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION IV, PTS 1 AND 2, 2012, 128-129 : 648 - +
  • [47] UREA: an algorithm for maximisation of coverage in stochastic deployment of wireless sensor networks
    Nene, Manisha J.
    Deodhar, Rajendra S.
    Patnaik, Lalit M.
    INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS, 2012, 27 (03) : 249 - 274
  • [48] Coverage-Guaranteed Sensor Node Deployment Strategies for Wireless Sensor Networks
    Fan, Gaojuan
    Wang, Ruchuan
    Huang, Haiping
    Sun, Lijuan
    Sha, Chao
    SENSORS, 2010, 10 (03) : 2064 - 2087
  • [49] Mobile Sensor Node Deployment and Asynchronous Power Management for Wireless Sensor Networks
    Luo, Ren C.
    Chen, Ogst
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2012, 59 (05) : 2377 - 2385
  • [50] Node Self-Deployment Algorithm Based on Pigeon Swarm Optimization for Underwater Wireless Sensor Networks
    Yu, Shanen
    Xu, Yiming
    Jiang, Peng
    Wu, Feng
    Xu, Huan
    SENSORS, 2017, 17 (04)