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Agent migration and communication in WSNs

Author(s)
Muldoon, Conor  
O'Hare, G. M. P. (Greg M. P.)  
O'Grady, Michael J.  
Tynan, Richard  
Uri
http://hdl.handle.net/10197/1329
Date Issued
2008-12
Date Available
2009-07-29T14:05:42Z
Abstract
Intelligent agents offer a viable paradigm for enabling
AmI applications and services. As WSN technologies
are anticipated to provide an indispensable component in
many application domains, the need for enabling the agent
paradigm to encompass such technologies becomes more
urgent. The resource-constrained ad-hoc nature of WSNs
poses significant challenges to conventional agent frameworks.
In particular, the implications for agent functionality
and behaviour in a WSN context demand that issues
such as unreliable message delivery and limited power resources,
amongst others, be considered. In this paper, the
practical issues of agent migration and communication are
considered in light of WSN constraints. The discussion is
illustrated through a description of approaches adopted by
Agent Factory Micro Edition (AFME).
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE Computer Society Press
Copyright (Published Version)
2008 IEEE
Subject – LCSH
Intelligent agents (Computer software)
Ambient intelligence
Wireless sensor networks
DOI
10.1109/PDCAT.2008.58
Web versions
http://doi.ieeecomputersociety.org/10.1109/PDCAT.2008.58
Language
English
Status of Item
Peer reviewed
Journal
Huang, Z. ...[et al.] (eds.). Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies PDCAT 2008 : proceedings
Conference Details
1st International Workshop on Sensor Networks and Ambient Intelligence 1-4th December 2008, Dunedin , New Zealand
ISBN
9780769534435
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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