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

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10.1145/2883615
 
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hdl:2117/104250

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Doudou, Messaoud
Barceló Ordinas, José MaríaMés informacióMés informacióMés informació
Djenouri, Djamel
García Vidal, JorgeMés informacióMés informacióMés informació
Bouabdallah, Abdelmadjid
Badache, Nadjib
Document typeArticle
Defense date2016-05
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
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.
CitationDoudou, M., Barceló, J., Djenouri, D., García, J., Bouabdallah, A., Badache, N. Game theory framework for MAC parameter optimization in energy-delay constrained sensor networks. "ACM transactions on sensor networks", Maig 2016, vol. 12, núm. 2, p. 10:1-10:35. 
URIhttp://hdl.handle.net/2117/104250
DOI10.1145/2883615
ISSN1550-4859
Publisher versionhttp://dl.acm.org/citation.cfm?id=2883615
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  • Departament d'Arquitectura de Computadors - Articles de revista [1.143]
  • CNDS - Xarxes de Computadors i Sistemes Distribuïts - Articles de revista [119]
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