Plume Source Localizing in Different Distributions and Noise Types Based on WSN

• Published in: 2010 International Conference on Communications and Mobile Computing Vol. 3; pp. 63 - 66
• Main Authors: Hua Wang, Yiming Zhou, Xianglong Yang, Liren Wang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2010
• Subjects: Chemical sensors; Estimation error; Gas detectors; Hidden Markov models; Maximum likelihood estimation; Monitoring; plume dispersion; Pollution; Robot kinematics; Robot sensing systems; source localization; wireless sensor network; Wireless sensor networks
• ISBN: 9781424463275; 1424463270
• DOI: 10.1109/CMC.2010.332

Accidental gas leaks from unknown sites will cause the serious environmental pollution. One of the efficient methods to solve the problem is tracking and locating the plume source position. This paper presents a wireless sensor network installed with the gas sensor to on-line monitor the environment and estimate the location of a gas source based on the concentration readings at the wireless sensor nodes. Nonlinear Least Squares Method (NLS) was proposed for localization. The effect of the estimation error, with different distributions of the sensor nodes, different sensor number and different types of the back ground noises, is researched by simulations. The simulation results show that when the number of the nodes is more, the effect of the different distributions is not distinct. While the number of the nodes is less, the estimation error under the uniform distribution is more stable than under the random distribution. The suitable deployed method is discussed based on the simulation results. We also discussed the impact of the different noise types to the estimation error.