Semi-flocking-controlled mobile sensor networks for tracking targets with different priorities

Wanmai Yuan, Nuwan Ganganath, Chi Tsun Cheng, Shahrokh Valaee, Guo Qing, Francis C.M. Lau, Herbert H.C. Iu

Research output: Chapter in Book/Conference paperConference paperpeer-review

2 Citations (Scopus)
100 Downloads (Pure)


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.

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems, ISCAS 2019
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9781728103976
Publication statusPublished - 1 May 2019
Event2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan
Duration: 26 May 201929 May 2019

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310


Conference2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019

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