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dc.contributor.authorJaleel, Hassanen_US
dc.contributor.authorRahmani, Amir R.en_US
dc.contributor.authorEgerstedt, Magnus B.en_US
dc.date.accessioned2013-12-20T16:44:36Z
dc.date.available2013-12-20T16:44:36Z
dc.date.issued2013-02
dc.identifier.citationH. Jaleel, A. Rahmani, and M. Egerstedt. Probabilistic Life Time Maximization of Sensor Networks. IEEE Transactions on Automatic Control, Vol. 58, No. 2, pp. 534-539, Feb. 2013.en_US
dc.identifier.issn0018-9286
dc.identifier.urihttp://hdl.handle.net/1853/49924
dc.description© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.en_US
dc.descriptionDOI:10.1109/TAC.2012.2209950en_US
dc.description.abstractThe design of power-aware lifetime maximization algorithms for sensor networks is an active area of research. However, the standard assumption is that the performance of the sensors remains the same throughout the network’s lifetime, which is not alwaystrue. In this paper, we study the effects of power decay on the performance of individual sensors as well as of the entire network. In particular, we examine networks with decaying footprints, akin to those of RF or radar-based sensors and relate the performance of a sensor to its available power. Moreover, we propose probabilistic scheduling controllers that compensate for the effects of the decrease in power while maintaining an adequate probability of event detection under two sensing models; Boolean and non-Boolean. We simulate the performance of the proposed controllers to establish that the desired performance levels are indeed maintained throughout the lifetime of the network.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectDynamic schedulingen_US
dc.subjectLifetime maximizationen_US
dc.subjectRandom sensor deploymenten_US
dc.subjectWireless sensor networksen_US
dc.titleProbabilistic Life Time Maximization of Sensor Networksen_US
dc.typeArticleen_US
dc.typePost-printen_US
dc.contributor.corporatenameUniversity of Miami. Dept. of Mechanical and Aerospace Engineeringen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineeringen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Georgia Robotics and InTelligent Systems Laboratoryen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Robotics and Intelligent Machinesen_US
dc.publisher.originalInstitute of Electrical and Electronics Engineersen_US
dc.identifier.doi10.1109/TAC.2012.2209950


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