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A Game-theoretic Approach to Device and Resource Discovery in Internet of Battle Things

Shahab Tayeb, Adrian Ruiz, and Shahram Latifi
Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, 89154, USA
Abstract—This paper investigates the problem of optimizing automated supply support operations in the Internet of Battle Things. Such networks have highly dynamic environments and decision making in hindered by the big data volume, velocity, and variety. The literature for automation in the Internet of Battle Things lacks a decision-making model for this crucial logistic task. A solution is proposed based on coalition game theory. The problem of responding to supply support requests is formulated as a coalition game of selecting the best group of cargo supply vehicles, to respond to supply support requests in a region of the battlefront. Through the principles of coalition formation, a coalition selection and region assignment algorithm are designed to form coalitions for optimizing resource allocation and maintaining a high level of request satisfaction.


Index Terms—Device discovery, coalition games, game theory, internet of things, wireless sensor network.


Cite: Shahab Tayeb, Adrian Ruiz, and Shahram Latifi, "A Game-theoretic Approach to Device and Resource Discovery in Internet of Battle Things," Journal of Communications, vol. 14, no. 6, pp. 484-489, 2019. Doi: 10.12720/jcm.14.6.484-489.
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