Deployment of high altitude platforms in heterogeneous wireless sensor network via MRF-MAP and potential games
作者： Xuyu Wang
DOI: 10.1109/WCNC.2013.6554776
关键词: Energy consumption 、 Wireless sensor network 、 Distributed computing 、 Computer network 、 Nash equilibrium 、 Potential game 、 Relay 、 Key distribution in wireless sensor networks 、 Markov process 、 Computer science
摘要: With the development of wireless sensor network (WSN), design and maintenance WSN are still challenge in a large number nodes which constrained energy bandwidth. Thus, new solution is high altitude platforms (HAPs) that can be employed as relay order to reduce consumption because multi-hop transmission enlarge coverage range WSN. In this paper, novel heterogeneous system consisting HAP layer, layer mission proposed. system, we model deployment HAPs based on markov random field with maximum posteriori probability (MAP) framework, thus obtaining function HAPs. Then, potential game approach introduced analyze function, proves able achieve pure Nash equilibrium. addition, modified distributed learning algorithm called sequential spatial adaptive play presented solve proposed game. Finally, simulation results illustrate method equilibrium optimal
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