This work addresses the problem of detecting gas dispersions through concentration sensors with wireless transmission capabilities organized as a distributed Wireless Sensor …
Due to the flammability, explosiveness and toxicity of continuous objects (eg, chemical gas, oil spill, radioactive waste) in the petrochemical and nuclear industries, boundary tracking of …
TC Aysal, KE Barner - IEEE Transactions on Information …, 2008 - ieeexplore.ieee.org
We consider decentralized estimation of a noise-corrupted deterministic signal in a bandwidth-constrained sensor network communicating through an insecure medium. Each …
A Etemadi, M Farahnak-Ghazani, H Arjmandi… - IEEE …, 2022 - ieeexplore.ieee.org
Abnormality detection and localization (ADL) have been studied widely in wireless sensor networks (WSNs) literature, where the sensors use electromagnetic waves for …
Water resources and aquatic ecosystems are facing increasing threats from climate change, improper waste disposal, and oil spill incidents. It is of great interest to deploy mobile …
B Ristic, A Gunatilaka, R Gailis - Information Fusion, 2015 - Elsevier
The Gaussian plume model is the core of most regulatory atmospheric dispersion models. The parameters of the model include the source characteristics (eg location, strength) and …
Abstract Array Signal Processing (ASP) refers to the collection and manipulation of data obtained from multiple spatially distributed sensors or antennas, in an effort to extract …
Multi-resolution grid computation is a technique used to speed up source localization with a Maximum Likelihood Estimation (MLE) algorithm. In the case where the source is located …
A Sundaresan, PK Varshney - IEEE Transactions on Signal …, 2010 - ieeexplore.ieee.org
The problem of location estimation of a source of random signals using a network of sensors is considered. A novel maximum-likelihood estimation (MLE) based approach using copula …