A stochastic multiobjective optimization framework for wireless sensor networks
EURASIP Journal on Wireless Communications and Networking - Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks
Market-based resource allocation for distributed data processing in wireless sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
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This paper addresses flow control and resource allocation problem for heterogeneous wireless sensor networks which consist of diverse sensor types and applications. The performance of these applications, either elastic data collecting or real-time monitoring, is modelled as a utility function of the sensor source rate. The traditional optimal flow control approach, which requires the utility function to be strictly concave, is no longer applicable because of realtime applications involved. Therefore, we propose a new utility-based flow control framework that is able to allocate the resources (wireless channel usage and sensor node energy) efficiently and guarantee the application performance in a utility proportional or max-min fair manner. Furthermore, the optimization and convergence of the algorithm is examined in the paper as well.