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 paper

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.

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
DOIs
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
Volume2019-May
ISSN (Print)0271-4310

Conference

Conference2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
CountryJapan
CitySapporo
Period26/05/1929/05/19

Fingerprint

Target tracking
Sensor networks
Wireless networks
Mobile agents

Cite this

Yuan, W., Ganganath, N., Cheng, C. T., Valaee, S., Qing, G., Lau, F. C. M., & Iu, H. H. C. (2019). Semi-flocking-controlled mobile sensor networks for tracking targets with different priorities. In Proceedings - IEEE International Symposium on Circuits and Systems, ISCAS 2019 [8702239] (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2019-May). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISCAS.2019.8702239
Yuan, Wanmai ; Ganganath, Nuwan ; Cheng, Chi Tsun ; Valaee, Shahrokh ; Qing, Guo ; Lau, Francis C.M. ; Iu, Herbert H.C. / Semi-flocking-controlled mobile sensor networks for tracking targets with different priorities. Proceedings - IEEE International Symposium on Circuits and Systems, ISCAS 2019 . IEEE, Institute of Electrical and Electronics Engineers, 2019. (Proceedings - IEEE International Symposium on Circuits and Systems).
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title = "Semi-flocking-controlled mobile sensor networks for tracking targets with different priorities",
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 = "Mobile sensor networks, Multi-target tracking, Semi-flocking, Target evaluation",
author = "Wanmai Yuan and Nuwan Ganganath and Cheng, {Chi Tsun} and Shahrokh Valaee and Guo Qing and Lau, {Francis C.M.} and Iu, {Herbert H.C.}",
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Yuan, W, Ganganath, N, Cheng, CT, Valaee, S, Qing, G, Lau, FCM & Iu, HHC 2019, Semi-flocking-controlled mobile sensor networks for tracking targets with different priorities. in Proceedings - IEEE International Symposium on Circuits and Systems, ISCAS 2019 ., 8702239, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 2019-May, IEEE, Institute of Electrical and Electronics Engineers, 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019, Sapporo, Japan, 26/05/19. https://doi.org/10.1109/ISCAS.2019.8702239

Semi-flocking-controlled mobile sensor networks for tracking targets with different priorities. / Yuan, Wanmai; Ganganath, Nuwan; Cheng, Chi Tsun; Valaee, Shahrokh; Qing, Guo; Lau, Francis C.M.; Iu, Herbert H.C.

Proceedings - IEEE International Symposium on Circuits and Systems, ISCAS 2019 . IEEE, Institute of Electrical and Electronics Engineers, 2019. 8702239 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2019-May).

Research output: Chapter in Book/Conference paperConference paper

TY - GEN

T1 - Semi-flocking-controlled mobile sensor networks for tracking targets with different priorities

AU - Yuan, Wanmai

AU - Ganganath, Nuwan

AU - Cheng, Chi Tsun

AU - Valaee, Shahrokh

AU - Qing, Guo

AU - Lau, Francis C.M.

AU - Iu, Herbert H.C.

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AB - 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.

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PB - IEEE, Institute of Electrical and Electronics Engineers

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Yuan W, Ganganath N, Cheng CT, Valaee S, Qing G, Lau FCM et al. Semi-flocking-controlled mobile sensor networks for tracking targets with different priorities. In Proceedings - IEEE International Symposium on Circuits and Systems, ISCAS 2019 . IEEE, Institute of Electrical and Electronics Engineers. 2019. 8702239. (Proceedings - IEEE International Symposium on Circuits and Systems). https://doi.org/10.1109/ISCAS.2019.8702239