An Optimal Power-Controlled Topology Control for Wireless Sensor Networks

The efficacy of topology control has been shown to be a vital process to maximize the network lifetime of wireless sensor networks. In this paper, we present a distributed topology algorithm with transmission power adjustment based on optimal number of neighbors to raise the network energy-efficiency and the network throughput by reducing channel competition intensity and simplifying the complexity of initial network topology. In the algorithm, every node can adjust its transmission power level and calculate its optimal transmission power according to the optimal number of neighbors, and a virtual clustering scheme based on optimal transmission power is proposed for network topology control, where the network connectivity is also guaranteed. Analysis and simulation results demonstrate the correctness and effectiveness of our algorithm.