A Hybrid Mobile Node Localization Algorithm Based on Adaptive MCB-PSO Approach in Wireless Sensor Networks
Joint Authors
Dong, Zheng
Wu, Hua
Liu, Ju
Liu, Yang
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-13
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, a hybrid adaptive MCB-PSO node localization algorithm is proposed for three-dimensional mobile wireless sensor networks (MWSNs), which considers the random mobility of both anchor and unknown nodes.
An improved particle swarm optimization (PSO) approach is presented with Monte Carlo localization boxed (MCB) to locate mobile nodes.
It solves the particle degeneracy problem that appeared in traditional MCB.
In the proposed algorithm, a random waypoint model is incorporated to describe random movements of anchor and unknown nodes based on different time units.
An adaptive anchor selection operator is designed to improve the performance of standard PSO for each particle based on time units and generations, to maintain the searching ability in the last few time units and particle generations.
The objective function of standard PSO is then reformed to make it obtain a better rate of convergence and more accurate cost value for the global optimum position.
Furthermore, the moving scope of each particle is constrained in a specified space to improve the searching efficiency as well as to save calculation time.
Experiments are made in MATLAB software, and it is compared with DV-Hop, Centroid, MCL, and MCB.
Three evaluation indexes are introduced, namely, normalized average localization error, average localization time, and localization rate.
The simulation results show that the proposed algorithm works well in every situation with the highest localization accuracy, least time consumptions, and highest localization rates.
American Psychological Association (APA)
Wu, Hua& Liu, Ju& Dong, Zheng& Liu, Yang. 2020. A Hybrid Mobile Node Localization Algorithm Based on Adaptive MCB-PSO Approach in Wireless Sensor Networks. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1214413
Modern Language Association (MLA)
Wu, Hua…[et al.]. A Hybrid Mobile Node Localization Algorithm Based on Adaptive MCB-PSO Approach in Wireless Sensor Networks. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1214413
American Medical Association (AMA)
Wu, Hua& Liu, Ju& Dong, Zheng& Liu, Yang. A Hybrid Mobile Node Localization Algorithm Based on Adaptive MCB-PSO Approach in Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1214413
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214413