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Wireless network nodes, recently powerful enough to assume sophisticated roles, have changed the angle of studying service communication costs in modern, typically large-scale and inherently dynamic, network environments. Communication cost minimization for using a certain service, is one of the challenging issues in these environments. Its ensuing optimization problem is not only difficult (NP-hard and requires global information), but also its centralized solution is non-scalable. The approach followed in this paper is a distributed one based on local information.
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