Adaptive lifetime maximization strategies for wireless sensor networks

Energy consumption optimization constitutes one of the main challenges in wireless sensor networks. Most of the power based routing strategies proposed in the literature are based on global power consumption optimization rather than maximizing the network lifetime. In this paper, we propose an adaptive routing strategy that maximizes the lifetime of the sensor network, where optimal routes are selected in order to delay, as long as possible, the first energy run out among sensor nodes. The proposed routing strategy also takes into account both the reception and the transmission energy dissipations. Moreover, in order to adapt to the changes that may occur in the network topology or characteristics, we propose a global adaptive framework that dynamically reconfigures routes according to the current network state. The proposed strategy is modelled and simulation results are presented.