Paper Info
Title
Sensor placement and coordination via distributed multi-agent cooperative control
Abstract
This paper examines the problem of sensor placement and coordination to maximize the sensor utilization when monitoring different types of environments. Our assumption is that the sensors are mobile and each sensor can have more than one type of sensing capabilities which can be active or not at each specific moment. The goal is to maximize the amount of information collected from the environment, given the limited amount of resources that the total of the available sensors can provide, and at the same time to be fault tolerant in failures of individual sensors by using a decentralized approach that re-organizes their placement in case of failures. We tackle this problem by employing a decentralized multi-agent coordination framework using message passing and the Max-Sum algorithm for building and maintaining a common picture of the area to be monitored. We show that by representing each sensor as an independent agent which can take decisions individually and at the same time can affect the decisions of its neighbouring sensor-agents we can provide a robust and efficient system for the monitoring of life-critical environments such as assistive environments or governmental infrastructures.
Year
DOI
Venue
2010
10.1145/1839294.1839311
PETRA
Keywords
Field
DocType
multi-agent cooperative control,individual sensor,decentralized multi-agent coordination framework,sensor placement,max-sum algorithm,decentralized approach,available sensor,common picture,assistive environment,sensor utilization,limited amount,multi agent system,multi agent systems,message passing,fault tolerant
Computer science,Multi-agent system,Fault tolerance,Message passing,Distributed computing
Conference
Citations 
PageRank 
References 
2
0.49
17
Authors
4
Name
Order
Citations
PageRank
Alexandros Papangelis19318.01
Vangelis Metsis243430.99
John Shawe-Taylor3118791518.73
Fillia Makedon41676201.73