Distributed algorithms for transmission power control in wireless sensor networks

Two algorithms for dynamically adjusting transmission power level on a per-node basis have been evaluated using a simulative approach. Network lifetime, convergence speed as well as resulting network connectivity have been obtained for these two algorithms using a particular indoor sensor environment. The network lifetime metrics of these two local algorithms are also benchmarked against power control algorithms using global information. We show that these two algorithms outperform fixed power level assignment and are generally within a lifetime of two of a globally computed solution.