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Adaptive algorithms for sensor activation in renewable energy based sensor systems

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dc.contributor.author Jaggi, Neeraj
dc.contributor.author Madakasira, Sreenivas
dc.contributor.author Mereddy, Sandeep Reddy
dc.contributor.author Pendse, Ravi
dc.date.accessioned 2012-08-28T21:09:17Z
dc.date.available 2012-08-28T21:09:17Z
dc.date.issued 2013-06
dc.identifier.citation Neeraj 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.1405-1420 en_US
dc.identifier.issn 1570-8705
dc.identifier.uri http://dx.doi.org/10.1016/j.adhoc.2011.04.008
dc.identifier.uri http://hdl.handle.net/10057/5263
dc.description Click on the DOI link below to access the article (may not be free). en_US
dc.description.abstract Upcoming 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.iso en_US en_US
dc.publisher ELSEVIER SCIENCE BV en_US
dc.relation.ispartofseries Ad Hoc Networks
dc.subject Adaptive algorithms en_US
dc.subject Sensor activation en_US
dc.subject Temporal correlations en_US
dc.subject Energy harvesting sensor systems en_US
dc.title Adaptive algorithms for sensor activation in renewable energy based sensor systems en_US
dc.type Article en_US
dc.description.version Peer reviewed
dc.rights.holder Copyright © 2013, Elsevier

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