DocumentCode :
2823022
Title :
Distributed connectivity control of mobile networks
Author :
Zavlanos, Michael M. ; Pappas, George J.
Author_Institution :
Univ. of Pennsylvania, Philadelphia
fYear :
2007
fDate :
12-14 Dec. 2007
Firstpage :
3591
Lastpage :
3596
Abstract :
Control of mobile networks raises fundamental and novel problems in controlling the structure of the resulting dynamic graphs. In particular, in applications involving mobile sensor networks and multi-agent systems, a great new challenge is the development of distributed motion algorithms that guarantee connectivity of the overall network. In this paper, we address this challenge using a novel control decomposition. First, motion control is performed in the continuous state space, where nearest neighbor potential fields are used to maintain existing links in the network. Second, distributed coordination protocols in the discrete graph space ensure connectivity of the switching network topology. Coordination is based on locally updated estimates of the abstract network topology by every agent as well as distributed auctions that enable tie breaking whenever simultaneous link deletions may violate connectivity. Integration of the overall system results in a distributed, multi- agent, hybrid system for which we show that, under certain secondary objectives on the agents and the assumption that the initial network is connected, the resulting motion always satisfies connectivity of the network. Our approach can also account for communication time delays in the network as well as collision avoidance, while its efficiency and scalability properties are illustrated in nontrivial computer simulations.
Keywords :
distributed control; graph theory; mobile communication; motion control; telecommunication control; telecommunication network topology; collision avoidance; control decomposition; discrete graph space; distributed auctions; distributed connectivity control; distributed coordination protocols; distributed motion algorithms; mobile networks; mobile sensor networks; motion control; multiagent systems; nearest neighbor potential fields; switching network topology; Collision avoidance; Delay effects; Distributed control; Motion control; Multiagent systems; Nearest neighbor searches; Network topology; Protocols; Sensor systems and applications; State-space methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2007.4434525
Filename :
4434525
Link To Document :
بازگشت