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dc.contributor.authorJaggi, Neeraj
dc.contributor.authorMadakasira, Sreenivas
dc.contributor.authorMereddy, Sandeep Reddy
dc.contributor.authorPendse, Ravi
dc.date.accessioned2012-08-28T21:09:17Z
dc.date.available2012-08-28T21:09:17Z
dc.date.issued2013-06
dc.identifier.citationNeeraj Jaggi, Sreenivas Madakasira, Sandeep Reddy Mereddy, Ravi Pendse. 2013. Adaptive algorithms for sensor activation in renewable energy based sensor systems, Ad Hoc Networks, v.11:no.4:pp.1405-1420en_US
dc.identifier.issn1570-8705
dc.identifier.urihttp://dx.doi.org/10.1016/j.adhoc.2011.04.008
dc.identifier.urihttp://hdl.handle.net/10057/5263
dc.descriptionClick on the DOI link below to access the article (may not be free).en_US
dc.description.abstractUpcoming sensor networks would be deployed with sensing devices with energy harvesting capabilities from renewable energy sources such as solar power. A key research question in such sensor systems is to maximize the asymptotic event detection probability achieved in the system, in the presence of energy constraints and uncertainties. This paper focuses on the design of adaptive algorithms for sensor activation in the presence of uncertainty in the event phenomena. Based upon the ideas from increase/decrease algorithms used in TCP congestion avoidance, we design an online and adaptive activation algorithm that varies the subsequent sleep interval according to additive increase and multiplicative decrease depending upon the sensor's current energy level. In addition, the proposed algorithm does not depend on global system parameters, or on the degree of event correlations, and hence can easily be deployed in practical scenarios. We analyze the performance of proposed algorithm for a single sensor scenario using Markov chains, and show that the proposed algorithm achieves near-optimal performance. Through extensive simulations, we demonstrate that the proposed algorithm not only achieves near-optimal performance, but also exhibits more stability with respect to sensor's energy level and sleep interval variations. We validate the applicability of our proposed algorithm in the presence of multiple sensors and multiple event processes through simulations.en_US
dc.language.isoen_USen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofseriesAd Hoc Networks
dc.subjectAdaptive algorithmsen_US
dc.subjectSensor activationen_US
dc.subjectTemporal correlationsen_US
dc.subjectEnergy harvesting sensor systemsen_US
dc.titleAdaptive algorithms for sensor activation in renewable energy based sensor systemsen_US
dc.typeArticleen_US
dc.description.versionPeer reviewed
dc.rights.holderCopyright © 2013, Elsevier


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