Collaborative Resource Allocation in Wireless Sensor Networks
ECRTS '04 Proceedings of the 16th Euromicro Conference on Real-Time Systems
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ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
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APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
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IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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IEEE Transactions on Information Theory
Resource allocation and performance analysis of wireless video sensors
IEEE Transactions on Circuits and Systems for Video Technology
Grouping nodes in wireless sensor networks using coalitional game theory
FMOODS'10/FORTE'10 Proceedings of the 12th IFIP WG 6.1 international conference and 30th IFIP WG 6.1 international conference on Formal Techniques for Distributed Systems
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Sparsely distributed clusters of wireless sensors with applications ranging from state-wide wireless bridge monitoring to animal herds tracking have gained recent attention due to their special characteristics and challenging resource allocation problem. A novel optimal power allocation paradigm based on game theory is proposed to minimize the inter and intra-cluster interference. Cost functions are assigned to the transmission power, estimate of the aggregate interference generated by the cluster on the overall network, and the signal to interference and noise ratio (SINR) at the node level. It is observed that the proposed algorithm demonstrates acceptable convergence properties when used after a channel allocation scheme and is more power efficient if used in parallel with a channel allocation method. Simulation results are presented to support the proposed analysis.