Distributed Sensor Fusion for Wire Fault Location Using Sensor Clustering Strategy

Optimal sensor location for distributed-sensor systems using multivariate regression

The performance of monitoring and control techniques for distributed-sensor systems is affected by the choice of the measurement sensor location. In this paper a methodology is suggested to solve the optimal sensor location problem. The suggested algorithm does not require any explicit knowledge of the plant model, and is based upon a sequential procedure selecting at each iteration the most in...

Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system

Distributed Sensor Fusion Networks

This paper introduces a framework for processing sensor measurements with respect to their dependability. Each measurement is represented as an observation, i. e., a compound of a name, a measurement instant, the measured value, and a confidence marker indicating the dependability of value and instant. Sensor observations are processed by a network of fusion nodes in order to produce data with ...

Distributed Sensor Fusion Using Dynamic Consensus

This work is an extension to a companion paper describing consensustracking for networked agents, and shows how those results can be applied to obtain least-squares fused estimates based on spatially distributed measurements. This mechanism is very robust to changes in the underlying network topology and performance, making it an interesting candidate for sensor fusion on autonomous mobile netw...

An Adaptive LEACH-based Clustering Algorithm for Wireless Sensor Networks

LEACH is the most popular clastering algorithm in Wireless Sensor Networks (WSNs). However, it has two main drawbacks, including random selection of cluster heads, and direct communication of cluster heads with the sink. This paper aims to introduce a new centralized cluster-based routing protocol named LEACH-AEC (LEACH with Adaptive Energy Consumption), which guarantees to generate balanced cl...