DV-Hop based localization algorithm using node negotiation and multiple communication radii for wireless sensor network

被引:0
作者
Yuxiao Cao
Ying Qian
Zhen Wang
机构
[1] Nanjing Institute of Technology,School of Computer Engineering
[2] Huizhou University,School of Information Science and Technology
来源
Wireless Networks | 2023年 / 29卷
关键词
Wireless sensor network; Localization; Multiple communication radii; Combinatorial optimization problem; Binary particle swarm optimization;
D O I
暂无
中图分类号
学科分类号
摘要
Nodes localization has been a critical subject in wireless sensor network (WSN) field. As far as existing localization algorithms are concerned, distance vector hop (DV-Hop) has the advantages of no extra hardware and implementation simplicity, however its localization accuracy cannot meet some specific requirements. In order to enhance the accuracy of WSN nodes localization, a DV-Hop based localization algorithm based on nodes negotiation and multi communication radii (NNMCR DV-Hop) is proposed in this paper. Firstly, the hop counts between WSN nodes is modified from an integer to a decimal by changing communication radius of anchor nodes through nodes negotiation. By refining the hop counts, the accuracy of the estimated distance from the unknown to the anchor nodes is improved. Secondly, the calculation of the average hop size of the anchor node is abstracted into a combinatorial optimization problem which is solved by using binary particle swarm optimization (BPSO) to improve the accuracy of the estimated distance which is between the anchor and the unknown node. Finally, when calculating the coordinates of unknown nodes, only the anchor nodes with smaller hop counts are selected to participate in the calculation. Simulation experiments show that compared with the original DV-Hop as well as other improved algorithms based on DV-Hop, NNMCR DV-Hop greatly improves the localization accuracy of unknown nodes without additional hardware.
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页码:3493 / 3513
页数:20
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  • [1] Shafique K(2020)Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios IEEE Access 8 23022-23040
  • [2] Khawaja BA(2020)A survey on the internet of things (IoT) forensics: Challenges, approaches, and open issues IEEE Communications Surveys & Tutorials 22 1191-1221
  • [3] Sabir F(2020)WSN strategies based on sensors, deployment, sensing models, coverage and energy efficiency: Review, approaches and open issues Wireless Personal Communications 111 1089-1115
  • [4] Qazi S(2020)An energy efficient and secure IoT-based WSN framework: An application to smart agriculture Sensors 20 2081-1252
  • [5] Mustaqim M(2018)Privacy preservation in WSN for healthcare application Procedia Computer Science 132 1243-219
  • [6] Stoyanova M(2016)Applications of wireless sensor networks for urban areas: A survey Journal of Network and Computer Applications 60 192-3061
  • [7] Nikoloudakis Y(2021)DV-Hop-based range-free localization algorithm for wireless sensor network using runner-root optimization The Journal of Supercomputing 77 3044-102
  • [8] Panagiotakis S(2021)DV-Hop localization methods for displaced sensor nodes in wireless sensor network using PSO Wireless Networks 27 91-805
  • [9] Pallis E(2016)Multi-objective optimization for a reliable localization scheme in wireless sensor networks Journal of Communications and Networks 18 796-8
  • [10] Markakis EK(2020)Basic performance and future developments of BeiDou global navigation satellite system Satellite Navigation 1 1-52