Long Tran-Thanh
type: Person
family name: Tran-Thanh
given name: Long
type: Thing

Alex Rogers
type: Person
family name: Rogers
given name: Alex
type: Thing

Nick Jennings
type: Person
family name: Jennings
given name: Nick
type: Thing

Long Tran-Thanh
type: Person
family name: Tran-Thanh
given name: Long
type: Thing

Alex Rogers
type: Person
family name: Rogers
given name: Alex
type: Thing

Nick Jennings
type: Person
family name: Jennings
given name: Nick
type: Thing

Long–Term Information Collection with Energy Harvesting Wireless Sensors: A Multi–Armed Bandit Based Approach (Image (JPEG))
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HTML Summary of #22587 Long–Term Information Collection with Energy Harvesting Wireless Sensors: A Multi–Armed Bandit Based Approach
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primary topic: Long–Term Information Collection with Energy Harvesting Wireless Sensors: A Multi–Armed Bandit Based Approach

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Long–Term Information Collection with Energy Harvesting Wireless Sensors: A Multi–Armed Bandit Based Approach
status: forthcoming
in publications list of: iam
creator: Nick Jennings
has document: Long–Term Information Collection with Energy Harvesting Wireless Sensors: A Multi–Armed Bandit Based Approach (Indexer Terms)
abstract: This paper reports on the development of a multi–agent approach to long-term information collection in networks of energy harvesting wireless sensors. In particular, we focus on developing energy management and data routing policies that adapt their behaviour according to the energy that is harvested, in order to maximise the amount of information collected given the available energy budget. In so doing, we introduce a new energy management technique, based on multi–armed bandit learning, that allows each agent to adaptively allocate its energy budget across the tasks of data sampling, receiving and transmitting. By using this approach, each agent can learn the optimal energy budget settings that give it efficient information collection in the long run. Then, we propose two novel decentralised multi–hop algorithms for data routing. The first proveably maximises the information throughput in the network, but can sometimes involve high communication cost. The second algorithm provides near–optimal performance, but with reduced computational and communication costs. Finally, we demonstrate that, by using our approaches for energy management and routing, we can achieve a 120% improvement in long term information collection against state–of–the–art benchmarks.
type: EPrint
creator: Alex Rogers
type: Article
creator: Long Tran-Thanh
has version: Long–Term Information Collection with Energy Harvesting Wireless Sensors: A Multi–Armed Bandit Based Approach (PDF)
author list: authors
has document: Long–Term Information Collection with Energy Harvesting Wireless Sensors: A Multi–Armed Bandit Based Approach (PDF)
type: AcademicArticle
type: ArticleEPrint
is part of: repository
date: 2012-06-30
in publications list of: aic
has accepted: Long–Term Information Collection with Energy Harvesting Wireless Sensors: A Multi–Armed Bandit Based Approach (PDF)
status: peerReviewed
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has part: LTT_JAAMAS2010.pdf
has file: LTT_JAAMAS2010.pdf
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Journal of Autonomous Agents and Multi-Agent Systems
type: Collection

Long–Term Information Collection with Energy Harvesting Wireless Sensors: A Multi–Armed Bandit Based Approach (Indexer Terms)
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attribution name: University of Southampton, School of Electronics and Computer Science
attribution URL: http://www.ecs.soton.ac.uk/
license: http://creativecommons.org/publicdomain/zero/1.0/
publisher: ECS
rights holder: UoS
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primary topic: Long–Term Information Collection with Energy Harvesting Wireless Sensors: A Multi–Armed Bandit Based Approach