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

被引:8
作者
Cao, Yuxiao [1 ]
Qian, Ying [1 ]
Wang, Zhen [2 ]
机构
[1] Nanjing Inst Technol, Sch Comp Engn, Nanjing 211167, Jiangsu, Peoples R China
[2] Huizhou Univ, Sch Informat Sci & Technol, Huizhou 516007, Guangdong, Peoples R China
关键词
Wireless sensor network; Localization; Multiple communication radii; Combinatorial optimization problem; Binary particle swarm optimization; BAT ALGORITHM; OPTIMIZATION; SCHEME;
D O I
10.1007/s11276-023-03417-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:3493 / 3513
页数:21
相关论文
共 41 条
[1]   WSN Strategies Based on Sensors, Deployment, Sensing Models, Coverage and Energy Efficiency: Review, Approaches and Open Issues [J].
Amutha, J. ;
Sharma, Sandeep ;
Nagar, Jaiprakash .
WIRELESS PERSONAL COMMUNICATIONS, 2020, 111 (02) :1089-1115
[2]  
[Anonymous], 2013, Int J Sci Modern Eng (IJISME), DOI DOI 10.1109/WCNC.2004.1311556
[3]   Improved DV-Hop Localization Algorithm Based on Dynamic Anchor Node Set for Wireless Sensor Networks [J].
Cao, Yuxiao ;
Wang, Zhen .
IEEE ACCESS, 2019, 7 :124876-124890
[4]   GPS-free Positioning in Mobile Ad Hoc Networks [J].
Srdjan Čapkun ;
Maher Hamdi ;
Jean-Pierre Hubaux .
Cluster Computing, 2002, 5 (2) :157-167
[5]   A Hybrid DV-Hop Algorithm Using RSSI for Localization in Large-Scale Wireless Sensor Networks [J].
Cheikhrouhou, Omar ;
Bhatti, Ghulam M. ;
Alroobaea, Roobaea .
SENSORS, 2018, 18 (05)
[6]   A high accurate localization algorithm with DV-Hop and differential evolution for wireless sensor network [J].
Cui, Laizhong ;
Xu, Chong ;
Li, Genghui ;
Ming, Zhong ;
Feng, Yuhong ;
Lu, Nan .
APPLIED SOFT COMPUTING, 2018, 68 :39-52
[7]  
Doherty L, 2001, IEEE INFOCOM SER, P1655, DOI 10.1109/INFCOM.2001.916662
[8]  
Dorigo M., 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), P1470, DOI 10.1109/CEC.1999.782657
[9]   Ant colony optimization -: Artificial ants as a computational intelligence technique [J].
Dorigo, Marco ;
Birattari, Mauro ;
Stuetzle, Thomas .
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2006, 1 (04) :28-39
[10]   Enhancing the Sensor Node Localization Algorithm Based on Improved DV-Hop and DE Algorithms in Wireless Sensor Networks [J].
Han, Dezhi ;
Yu, Yunping ;
Li, Kuan-Ching ;
de Mello, Rodrigo Fernandes .
SENSORS, 2020, 20 (02)