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Title: Semi-flocking-controlled mobile sensor networks for tracking targets with different priorities
Authors: Yuan, W 
Ganganath, N 
Cheng, CT 
Valaee, S
Qing, G
Lau, FCM 
Issue Date: 2019
Source: 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 2019, p. 1-5
Abstract: Semi-flocking algorithms have been demonstrated to be efficient in maneuvering MSNs in multi-target tracking tasks. In many real-world applications, targets can be assigned with different priorities according to their importance of being tracked. However, existing semi-flocking algorithms normally assume the importance of all targets to be identical, which may not allocate resources in an efficient manner. In this paper, we propose a target evaluation method that incorporates priorities of the targets in the assessment process. Based on the evaluation results, mobile agents decide to track a target or continue to scan the terrain via a probabilistic task switching mechanism. Simulation results indicate a higher effectiveness of the proposed method in target tracking and area coverage when compared with two existing semi-flocking algorithms.
Keywords: Semi-flocking
Multi-target tracking
Mobile sensor
Target evaluation
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ISCAS.2019.8702239
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication W. Yuan et al., "Semi-Flocking-Controlled Mobile Sensor Networks for Tracking Targets with Different Priorities," 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 2019, pp. 1-5 is available at
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