Game theory framework for MAC parameter optimization in energy-delay constrained sensor networks

Doudou, Messaoud; Barcelo-Ordinas, Jose M.; Djenouri, Djamel; Garcia-Vidal, Jorge; Bouabdallah, Abdelmadjid; Badache, Nadjib

Abstract

Optimizing energy consumption and end-to-end (e2e) packet delay in energy-constrained, delay-sensitive wireless sensor networks is a conflicting multiobjective optimization problem. We investigate the problem from a game theory perspective, where the two optimization objectives are considered as game players. The cost model of each player is mapped through a generalized optimization framework onto protocol-specific MAC parameters. From the optimization framework, a game is first defined by the Nash bargaining solution (NBS) to assure energy consumption and e2e delay balancing. Secondy, the Kalai-Smorodinsky bargaining solution (KSBS) is used to find an equal proportion of gain between players. Both methods offer a bargaining solution to the duty-cycle MAC protocol under different axioms. As a result, given the two performance requirements (i.e., the maximum latency tolerated by the application and the initial energy budget of nodes), the proposed framework allows to set tunable system parameters to reach a fair equilibrium point that dually minimizes the system latency and energy consumption. For illustration, this formulation is applied to six state-of-the-art wireless sensor network (WSN) MAC protocols: B-MAC, X-MAC, RI-MAC, SMAC, DMAC, and LMAC. The article shows the effectiveness and scalability of such a framework in optimizing protocol parameters that achieve a fair energy-delay performance trade-off under the application requirements.

• Journal Article Type: Article
• Acceptance Date: Jan 7, 2016
• Online Publication Date: Mar 2, 2016
• Publication Date: May 1, 2016
• Deposit Date: Jan 21, 2020
• Publicly Available Date: Jan 22, 2020
• Journal: ACM Transactions on Sensor Networks
• Print ISSN: 1550-4859
• Electronic ISSN: 1550-4867
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 2
• Pages: 1-35
• DOI: https://doi.org/10.1145/2883615
• Public URL: https://uwe-repository.worktribe.com/output/5193286
• Publisher URL: https://dl.acm.org/doi/10.1145/2883615