Abstract— Wireless Sensor Networks (WSNs), due to their many features and capabilities, have become the mainstream for monitoring various phenomena of interest, ranging from monitoring environmental conditions to structural health monitoring, medical and military applications. However, they suffer from a number of resource constrains, which affect their operational range and lifetime longevity. Auction-based techniques, although mainly used for economic applications, in the recent years have shown effective results for modeling competitive environments in various engineering fields, especially wireless networks. In previous studies, we have shown how market-based techniques can be integrated on the node-level for efficiently executing the multi-paradigm applications. In this paper, we will investigate how these techniques may be utilized on the cluster and network levels for saving energy and prolonging network lifetime.
Index Terms— Agent-based, market-based, utility, sensomax, multi-operational, multi-paradigm, concurrency, resource, allocation, clustered.
Mo Haghighi is with the Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK and Large-Scale Complex IT Systems (LSCITS) (e-mail: Mo.Haghighi@bristol.ac.uk).
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Cite: Mo Haghighi, " Cooperative Task Allocation in Utility-Based Clustered Wireless Sensor Networks," International Journal of Information and Electronics Engineering vol. 3, no. 6, pp. 643-647, 2013.
