A Distributed Routing Scheme for Energy Management in Solar Powered Sensor Networks
Type
ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Entrepreneurship Center
Date
2017-10-11Online Publication Date
2017-10-11Print Publication Date
2017-12Permanent link to this record
http://hdl.handle.net/10754/626035
Metadata
Show full item recordAbstract
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.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 BVJournal
Ad Hoc NetworksAdditional Links
http://www.sciencedirect.com/science/article/pii/S1570870517301749ae974a485f413a2113503eed53cd6c53
10.1016/j.adhoc.2017.10.002