Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSMCC.2006.871590
DC FieldValue
dc.titleAutonomic mobile sensor network with self-coordinated task allocation and execution
dc.contributor.authorLow, K.H.
dc.contributor.authorLeow, W.K.
dc.contributor.authorAng Jr., M.H.
dc.date.accessioned2013-07-23T09:23:57Z
dc.date.available2013-07-23T09:23:57Z
dc.date.issued2006
dc.identifier.citationLow, K.H., Leow, W.K., Ang Jr., M.H. (2006). Autonomic mobile sensor network with self-coordinated task allocation and execution. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 36 (3) : 315-327. ScholarBank@NUS Repository. https://doi.org/10.1109/TSMCC.2006.871590
dc.identifier.issn10946977
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43063
dc.description.abstractThis paper describes a distributed layered architecture for resource-constrained multirobot cooperation, which is utilized in autonomic mobile sensor network coverage. In the upper layer, a dynamic task allocation scheme self-organizes the robot coalitions to track efficiently across regions. It uses concepts of ant behavior to self-regulate the regional distributions of robots in proportion to that of the moving targets to be tracked in a nonstationary environment. As a result, the adverse effects of task interference between robots are minimized and network coverage is improved. In the lower task execution layer, the robots use self-organizing neural networks to coordinate their target tracking within a region. Both layers employ self-organization techniques, which exhibit autonomic properties such as self-configuring, self-optimizing, self-healing, and self-protecting. Quantitative comparisons with other tracking strategies such as static sensor placements, potential fields, and auction-based negotiation show that our layered approach can provide better coverage, greater robustness to sensor failures, and greater flexibility to respond to environmental changes. © 2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TSMCC.2006.871590
dc.sourceScopus
dc.subjectMotion control
dc.subjectMultirobot architecture
dc.subjectSelf-organizing neural networks
dc.subjectSwarm intelligence
dc.subjectTask allocation
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1109/TSMCC.2006.871590
dc.description.sourcetitleIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
dc.description.volume36
dc.description.issue3
dc.description.page315-327
dc.description.codenITCRF
dc.identifier.isiut000237580400005
Appears in Collections:Staff Publications

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