Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/60072
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Ganganath, N | - |
dc.creator | Cheng, CT | - |
dc.creator | Tse, CK | - |
dc.date.accessioned | 2016-11-15T03:28:56Z | - |
dc.date.available | 2016-11-15T03:28:56Z | - |
dc.identifier.issn | 1551-3203 | - |
dc.identifier.uri | http://hdl.handle.net/10397/60072 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2016 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.rights | The following publication Ganganath, N., Cheng, C. T., & Tse, C. (2016). Distributed Antiflocking Algorithms for Dynamic Coverage of Mobile Sensor Networks. IEEE Transactions on Industrial Informatics, 12(5), 1795-1805 is available at http://dx.doi.org/10.1109/TII.2016.2519913 | en_US |
dc.subject | Obstacle avoidance | en_US |
dc.subject | Antiflocking | en_US |
dc.subject | Distributed control | en_US |
dc.subject | Dynamic coverage | en_US |
dc.subject | Information maps | en_US |
dc.subject | Mobile sensor networks (MSNs) | en_US |
dc.title | Distributed antiflocking algorithms for dynamic coverage of mobile sensor networks | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1795 | - |
dc.identifier.epage | 1805 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 5 | - |
dc.identifier.doi | 10.1109/TII.2016.2519913 | - |
dcterms.abstract | Mobile sensor networks (MSNs) are often used for monitoring large areas of interest (AoI) in remote and hostile environments, which can be highly dynamic in nature. Due to the infrastructure cost, MSNs usually consist of a limited number of sensor nodes. In order to cover large AoI, the mobile nodes have to move in an environment while monitoring the area dynamically. MSNs that are controlled by most of the previously proposed dynamic coverage algorithms either lack adaptability to dynamic environments or display poor coverage performances due to considerable overlapping of sensing coverage. As a new class of emergent motion control algorithms for MSNs, antiflocking control algorithms enable MSNs to self-organize in an environment and provide impressive dynamic coverage performances. The antiflocking algorithms are inspired by the solitary behavior of some animals who try to separate from their species in most of daily activities in order to maximize their own gains. In this paper, we propose two distributed antiflocking algorithms for dynamic coverage of MSNs, one for obstacle-free environments and the other for obstacle-dense environments. Both are based on the sensing history and local interactions among sensor nodes. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on industrial informatics, Oct. 2016, v. 12, no. 5, p. 1795-1805 | - |
dcterms.isPartOf | IEEE transactions on industrial informatics | - |
dcterms.issued | 2016-10 | - |
dc.identifier.ros | 2016005618 | - |
dc.identifier.eissn | 1941-0050 | - |
dc.identifier.rosgroupid | 2016005367 | - |
dc.description.ros | 2016-2017 > Academic research: refereed > Publication in refereed journal | - |
dc.description.validate | 201804_a bcma | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0047-n01 | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Ganganath_Distributed_Antiflocking_Algorithms.pdf | Pre-published version | 475.39 kB | Adobe PDF | View/Open |
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