Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80713
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorYuan, W-
dc.creatorGanganath, N-
dc.creatorCheng, CT-
dc.creatorValaee, S-
dc.creatorQing, G-
dc.creatorLau, FCM-
dc.creatorIu, HHC-
dc.date.accessioned2019-05-17T02:44:34Z-
dc.date.available2019-05-17T02:44:34Z-
dc.identifier.urihttp://hdl.handle.net/10397/80713-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.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.en_US
dc.rightsThe 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 https://doi.org/10.1109/ISCAS.2019.8702239en_US
dc.subjectSemi-flockingen_US
dc.subjectMulti-target trackingen_US
dc.subjectMobile sensoren_US
dc.subjectNetworksen_US
dc.subjectTarget evaluationen_US
dc.titleSemi-flocking-controlled mobile sensor networks for tracking targets with different prioritiesen_US
dc.typeConference Paperen_US
dc.identifier.spage1en_US
dc.identifier.epage5en_US
dc.identifier.doi10.1109/ISCAS.2019.8702239en_US
dcterms.abstractSemi-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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 2019, p. 1-5-
dcterms.issued2019-
dc.relation.conferenceIEEE International Symposium on Circuits and Systems [ISCAS]en_US
dc.description.validate201905 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0295-n02en_US
dc.description.pubStatusPublisheden_US
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