Title
Coverage control for mobile sensing networks
Abstract
This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks, where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies. The resulting closed-loop behavior is adaptive, distributed, asynchronous, and verifiably correct.
Year
DOI
Venue
2002
10.1109/TRA.2004.824698
Robotics and Automation, IEEE Transactions
Keywords
Field
DocType
asynchronous algorithms,optimisation,distributed algorithms,mobile sensing networks,autonomous vehicle networks,vector quantization,locational optimization,mobile tunable sensor,mobile robots,vehicles,multi-robot systems,computational geometry,decentralized control,utility functions,vector quantisation,coverage control,multi-agent systems,interconnected robotic systems,voronoi diagrams,centroidal voronoi partitions,wireless sensor networks,mobile agents,decentralised control,sensor fusion,gradient descent scheme,gradient descent algorithms,sensor allocation,gradient descent,biosensors,prototypes,remotely operated vehicles,sensor network,indexing terms,network performance
Gradient descent,Decentralised system,Control theory,Computational geometry,Control engineering,Distributed algorithm,Vector quantization,Voronoi diagram,Wireless sensor network,Optimization problem,Mathematics
Conference
Volume
Issue
ISSN
20
2
1042-296X
ISBN
Citations 
PageRank 
0-7803-7272-7
929
78.06
References 
Authors
39
4
Search Limit
100929
Name
Order
Citations
PageRank
Jorge Cortes11452128.75
Sonia Martìnez21203111.36
T. Karatas392978.06
Francesco Bullo44989415.53