Poster abstract: A decentralized routing scheme based on a zero-sum game to optimize energy in solar powered sensor networks

Author

Dehwah, Ahmad H. ; Tembine, Hamidou ; Claudel, Christian

Author_Institution

Dept. of Electr. Eng., King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia

fYear

2014

fDate

15-17 April 2014

Firstpage

285

Lastpage

286

Abstract

This poster is aimed at solving the problem of maximizing the energy margin of a solar-powered sensor network at a fixed time horizon, to maximize the network performance during an event to monitor. Using a game theoretic approach, the optimal routing maximizing the energy margin of the network at a given time under solar power forcing can be computed in a decentralized way and solved exactly through dynamic programming with a low overall complexity. We also show that this decentralized algorithm is simple enough to be implemented on practical sensor nodes. Such an algorithm would be very useful whenever the energy margin of a solar-powered sensor network has to be maximized at a specific time.

Keywords

dynamic programming; game theory; solar power; telecommunication network routing; telecommunication power supplies; wireless sensor networks; decentralized algorithm; decentralized routing scheme; dynamic programming; energy margin; energy optimization; fixed time horizon; game theoretic approach; sensor nodes; solar power forcing; solar powered wireless sensor networks; zero-sum game; Dynamic programming; Educational institutions; Game theory; Games; Routing; Sensors; Wireless sensor networks; Energy Optimization; Game Theory; Network Management;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Processing in Sensor Networks, IPSN-14 Proceedings of the 13th International Symposium on

Conference_Location

Berlin

Print_ISBN

978-1-4799-3146-0

Type

conf

DOI

10.1109/IPSN.2014.6846765

Filename

6846765