Energy-efficient resource management in Wireless Sensor Network

This paper studies energy-efficient resource allocation schemes in Wireless Sensor Network (WSN) where sensor nodes are densely deployed on the network with infrastructure support. We first construct a network scheme and compute the energy consumption with no intelligent resource management scheme for a given quality-of-service constraint defined as Signal-to-Interference-plus-Noise Ratio (SINR). Under the SINR constraint, optimum energy saving strategies are introduced based on common and adaptive transmit power. Simulation results show that for a given channel bandwidth, minimum energy consumption can be achieved when nodes adaptively control transmit signal power depending on the channel condition.