Using Misbehavior to Analyze Strategic Versus Aggregate Energy Minimization in Wireless Sensor Networks
The authors present a novel formulation of the problem of energy misbehavior and develop an analytical framework for quantifying its impact on other nodes. Specifically, they formulate two versions of the power control problem for wireless sensor networks with latency constraints arising from duty cycle allocations. In the first version, strategic power optimization, nodes are modeled as rational agents in a power game, who strategically adjust their powers to minimize their own energy. In the other version, joint power optimization, sensor nodes adjust their transmission powers to minimize the aggregate energy expenditure. Their analysis of these models yields insights into the different energy outcomes of strategic versus joint power optimization.