A Distributed Routing Scheme for Energy Management in Solar Powered Sensor Networks

Handle URI:
http://hdl.handle.net/10754/626035
Title:
A Distributed Routing Scheme for Energy Management in Solar Powered Sensor Networks
Authors:
Dehwah, Ahmad H.; Shamma, Jeff S. ( 0000-0001-5638-9551 ) ; Claudel, Christian G.
Abstract:
Energy 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.
KAUST Department:
Electrical Engineering Program; King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia
Citation:
Dehwah 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.
Publisher:
Elsevier BV
Journal:
Ad Hoc Networks
Issue Date:
11-Oct-2017
DOI:
10.1016/j.adhoc.2017.10.002
Type:
Article
ISSN:
1570-8705
Additional Links:
http://www.sciencedirect.com/science/article/pii/S1570870517301749
Appears in Collections:
Articles; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorDehwah, Ahmad H.en
dc.contributor.authorShamma, Jeff S.en
dc.contributor.authorClaudel, Christian G.en
dc.date.accessioned2017-10-30T08:39:52Z-
dc.date.available2017-10-30T08:39:52Z-
dc.date.issued2017-10-11en
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.en
dc.identifier.issn1570-8705en
dc.identifier.doi10.1016/j.adhoc.2017.10.002en
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.en
dc.publisherElsevier BVen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S1570870517301749en
dc.subjectDistributed routingen
dc.subjectEnergy managementen
dc.subjectSensor networksen
dc.subjectSolar powered WSNen
dc.titleA Distributed Routing Scheme for Energy Management in Solar Powered Sensor Networksen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentKing Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabiaen
dc.identifier.journalAd Hoc Networksen
dc.contributor.institutionSchool of Electrical and Computer Engineering, Georgia Institute of Technology, USAen
dc.contributor.institutionThe Department of Civil Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX 78712-0273, USAen
kaust.authorDehwah, Ahmad H.en
kaust.authorShamma, Jeff S.en
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