Abstract-We consider the problem of using Wireless Sensor Networks (WSNs) to measure the temporal-spatial field of some scalar physical quantities. Our goal is to obtain a sufficiently accurate approximation of the temporal-spatial field with as little energy as possible. We propose an adaptive algorithm, based on the recently developed theory of adaptive compressive sensing, to collect information from WSNs in an energy efficient manner. The key idea of the algorithm is to perform "projections" iteratively to maximise the amount of information gain per energy expenditure. We prove that this maximisation problem is NPhard and propose a number of heuristics to solve this problem. We evaluate the performance of our proposed algorithms using data from both simulation and an outdoor WSN testbed. The results show that our proposed algorithms are able to give a more accurate approximation of the temporal-spatial field for a given energy expenditure.
Chou et al. proposed an energy efficient information collection (EEIC) algorithm REF to collect information from sensor networks taking into account both energy consumption and the amount of information in the sensing data.
Energy efficient information collection in wireless sensor networks using adaptive compressive sensing
2009 IEEE 34th Conference on Local Computer Networks
2009 IEEE 34th Conference on Local Computer Networks
Computer Science