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dc.contributor.authorDehwah, Ahmad H.
dc.contributor.authorShamma, Jeff S.
dc.contributor.authorClaudel, Christian G.
dc.date.accessioned2017-10-30T08:39:52Z
dc.date.available2017-10-30T08:39:52Z
dc.date.issued2017-10-11
dc.identifier.citationDehwah AH, Shamma JS, Claudel CG (2017) A distributed routing scheme for energy management in solar powered sensor networks. Ad Hoc Networks 67: 11–23. Available: http://dx.doi.org/10.1016/j.adhoc.2017.10.002.
dc.identifier.issn1570-8705
dc.identifier.doi10.1016/j.adhoc.2017.10.002
dc.identifier.urihttp://hdl.handle.net/10754/626035
dc.description.abstractEnergy management is critical for solar-powered sensor networks. In this article, we consider data routing policies to optimize the energy in solar powered networks. Motivated by multipurpose sensor networks, the objective is to find the best network policy that maximizes the minimal energy among nodes in a sensor network, over a finite time horizon, given uncertain energy input forecasts. First, we derive the optimal policy in certain special cases using forward dynamic programming. We then introduce a greedy policy that is distributed and exhibits significantly lower complexity. When computationally feasible, we compare the performance of the optimal policy with the greedy policy. We also demonstrate the performance and computational complexity of the greedy policy over randomly simulated networks, and show that it yields results that are almost identical to the optimal policy, for greatly reduced worst-case computational costs and memory requirements. Finally, we demonstrate the implementation of the greedy policy on an experimental sensor network.
dc.publisherElsevier BV
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S1570870517301749
dc.subjectDistributed routing
dc.subjectEnergy management
dc.subjectSensor networks
dc.subjectSolar powered WSN
dc.titleA Distributed Routing Scheme for Energy Management in Solar Powered Sensor Networks
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentEntrepreneurship Center
dc.identifier.journalAd Hoc Networks
dc.contributor.institutionSchool of Electrical and Computer Engineering, Georgia Institute of Technology, USA
dc.contributor.institutionThe Department of Civil Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX 78712-0273, USA
kaust.personDehwah, Ahmad H.
kaust.personShamma, Jeff S.
dc.date.published-online2017-10-11
dc.date.published-print2017-12


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