Exhaustive Search-based Model for Hybrid Sensor Network

TL;DR

This paper introduces a new exhaustive search-based model for hybrid sensor networks with multi sub-clusters, aimed at improving real-time safety-critical monitoring systems like nuclear power plants.

Contribution

It presents a novel mathematical model utilizing an extended search algorithm with sensor interactions, enhancing decision accuracy with fewer parameters.

Findings

Achieves high decision accuracy in sensor networks

Reduces the number of parameters needed for reliable decisions

Provides a simple algorithm for implementation

Abstract

A new model for a cluster of hybrid sensors network with multi sub-clusters is proposed. The model is in particular relevant to the early warning system in a large scale monitoring system in, for example, a nuclear power plant. It mainly addresses to a safety critical system which requires real-time processes with high accuracy. The mathematical model is based on the extended conventional search algorithm with certain interactions among the nearest neighborhood of sensors. It is argued that the model could realize a highly accurate decision support system with less number of parameters. A case of one dimensional interaction function is discussed, and a simple algorithm for the model is also given.