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Decentralized Predictive Sensor Allocation

Abstract:
We present a method of dynamic coalition formation (DCF) in sensor networks to achieve well-informed sensor-target allocations. Forecasts of target movements are incorporated when choosing sensor states, as is a memory of target observation. The algorithm can be run in a centralized or decentralized configuration; the latter relies on local message passing in the form of the max-sum algorithm. We show how the DCF algorithm has been applied to synthetic and real data. © 2008 IEEE.
Publication status:
Published

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Publisher copy:
10.1109/CDC.2008.4739308

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Host title:
47TH IEEE CONFERENCE ON DECISION AND CONTROL, 2008 (CDC 2008)
Pages:
1702-1707
Publication date:
2008-01-01
DOI:
ISSN:
0191-2216
ISBN:
9781424431243


Pubs id:
pubs:318966
UUID:
uuid:efd30d8b-1443-474c-8c9b-7649ea0ef792
Local pid:
pubs:318966
Source identifiers:
318966
Deposit date:
2013-11-17
ARK identifier:

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