utility-based decision-making in wireless sensor networks
We consider challenges associated with application domains in which a large number of distributed, networked sensors must perform a sensing task repeatedly over time. We address issues such as resource constraints, utility associated with a sensing task, and achieving global objectives with only local information. We present a model for such applications, in which we define appropriate global objectives based on utility functions and specify a cost model for energy consumption. In the full version of this paper, we present algorithms and experimental results for this problem domain [2].
utility wireless sensor network sensor senses challenge association applications domain distributed task timing addressing resource constraint global object locality informal model utility function cost model energy consumption version paper algorithm experimentation decision making