Distributed sequential adaptive weighted localization of a gas-leakage source using a wireless sensor network

We propose an effective algorithm to localize a continuous gas-leakage source using a wireless sensor network (WSN). We first derive the possible source locations by reverse derivation from the diffusion model using Lambert W function, and then the most possible source location is determined based on prior information. Finally, the most-possible source location is incorporated into the localization result, which is updated in a distributed sequential manner by adaptive weighted summation. Our algorithm is shown to achieve excellent performance, even in the case that the actual source is far away from the sensor-deployment area. The computational complexity is applicable for WSNs with relatively low calculating ability.