Energy‐aware quality of information maximisation for wireless sensor networks. Issue 17 (1st November 2016) - Du, Pengfei
Abstract : In this study, the authors investigate the energy‐aware quality of information (QoI) maximisation problem by jointly optimising the sensor selection, sampling rate, packet‐dropped rate, and transmit power in wireless sensor networks. By introducing the weight parameters, the authors first present a revenue‐cost (RC) function which combines the optimisation objectives of the QoI and energy expenditure into a single objective to capture the tradeoff between them. Then, a stochastic optimisation programming is formulated to maximise the long‐term average RC value subject to the network stability constraint. Using the Lyapunov drift theory, the authors develop a collaborative sensing and transmit power control algorithm that can guarantee the worst‐case delay for each packet. Simulation results demonstrate the advantages of the proposed algorithm.