Research Article
Data Preservation in Base Station-Less Sensor Networks: A Game Theoretic Approach
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@INPROCEEDINGS{10.1007/978-3-319-47509-7_2, author={Yutian Chen and Bin Tang}, title={Data Preservation in Base Station-Less Sensor Networks: A Game Theoretic Approach}, proceedings={Game Theory for Networks. 6th International Conference, GameNets 2016, Kelowna, BC, Canada, May 11-12, 2016, Revised Selected Papers}, proceedings_a={GAMENETS}, year={2017}, month={1}, keywords={Sensor networks Data preservation Energy-efficiency Game theory}, doi={10.1007/978-3-319-47509-7_2} }- Yutian Chen
Bin Tang
Year: 2017
Data Preservation in Base Station-Less Sensor Networks: A Game Theoretic Approach
GAMENETS
Springer
DOI: 10.1007/978-3-319-47509-7_2
Abstract
We aim to preserve the large amount of data generated inside with minimum energy cost, while considering that sensor nodes are selfish. Previous research assumed that all the sensor nodes are cooperative and designed a centralized minimum-cost flow solution. However, in a distributed setting wherein energy- and storage-constrained sensor nodes are under different control, they could behave selfishly, only to maximize their own benefit. In this paper, we take a game theoretic approach and design a computationally efficient data preservation game. We show that in our game, individual sensor nodes, motivated solely by self-interest, achieve good system-wide data preservation solution.
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