Time-Aware Distributed Sequential Detection of Gas Dispersion via Wireless Sensor Networks
Gianluca Tabella, Domenico Ciuonzo, Yasin Yılmaz, Xiaodong Wang, Pierluigi Salvo Rossi · IEEE Transactions on Signal and Information Processing over Networks · 2023
This work addresses the problem of detecting gas dispersions through concentration sensors with wireless transmission capabilities organized as a distributed Wireless Sensor Network (WSN). The concentration sensors in the WSN perform local sequential detection (SD) and transmit their individual decisions to the Fusion Center (FC) according to a transmission rule designed to meet the low-energy requirements of a wireless setup. The FC receives the transmissions sent by the sensors and makes a more reliable global decision by employing a SD algorithm. Two variants of the SD algorithm namedContinuous Sampling Algorithm(CSA) andDecision-Triggered Sampling Algorithm(DTSA), each with its own transmission rule, are presented and compared against a fully-batch algorithm namedBatch Sampling Algorithm(BSA). The CSA operates as atime-awaredetector by incorporating the time of each transmission in the detection rule. The proposed framework encompasses the gas dispersion model into the FC's decision rule and leverages real-time weather measurements. The case study involves an accidental dispersion of carbon dioxide (CO2). System performances are evaluated in terms of the receiver operating characteristic (ROC) curve as well as average decision delay and communication cost.