Open AccessAn Algorithm for Processing Data Received from a Distributed Monitoring Network Consisting of Several Sensors
Author(s) -
Елена Чернецова,
A. Shishkin
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1079/6/062062
Subject(s) - computer science , algorithm , real time computing , alarm , noise (video) , false alarm , wireless sensor network , data mining , software , object (grammar) , environmental monitoring , environmental pollution , artificial intelligence , engineering , environmental science , computer network , image (mathematics) , programming language , aerospace engineering , environmental protection , environmental engineering
The paper presents an algorithm for detecting an object during the coherent reception of signals coming from an environmental monitoring network consisting of several sensors. The sensors of the monitoring network can change their location in space, for example, as it happens in a freely drifting system of sensors for detecting oil pollution on the water surface. The proposed algorithm uses statistics that take into account the most stable features of the distribution of the source data. It provides a constant probability of false alarm at any noise level. This algorithm can be implemented in software in an automated decision support system for the presence or absence of environmental pollution. At the same time, decisions on the detection of a monitoring object made by an automated system will be more reliable.