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Autonomous management and control of sensor network-based applications
Date Issued
2009-08
Date Available
2010-01-25T12:42:49Z
Abstract
A central challenge facing sensor network research and development is the difficulty in providing effective autonomous management capability. This is due to a large number
of parameters to control, unexpected changes of the network topology and dynamic application requirements. Network management
is also a challenging task for the remote user due to the large-scale of the network and scarce visibility of live network
happenings. Preferably the network should have autonomous decision-making capabilities as network conditions and application
requirements changes. To cope with such uncertainties, firstly we consider Octopus, a powerful software tool that provides live
information about the network topology and sensor data. At present, the tool can provide monitoring and require a user to
control the network state manually. This paper describes how Octopus is reengineered to accommodate a multi-agent system
to provide autonomic managing capabilities. In particular, we detail two distinct architectures, the static and mobile agent
architectures, which can be effectively applied to deliver autonomous system management. This paper sets the basis for a
full autonomous network management via a multi agent system to work with Octopus.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE Computer Society
Copyright (Published Version)
2009 IEEE
Subject – LCSH
Wireless sensor networks--Decision making
Computer networks--Management
Intelligent agents (Computer software)
Web versions
Language
English
Status of Item
Peer reviewed
Part of
CSE 2009 : 12th IEEE International Conference on Computational Science and Engineering, 29–31 August 2009 Vancouver, Canada : Volume 2
Conference Details
Paper presented at the 2nd International Workshop on Adaptation in Wireless Sensor Networks (AWSN-09), in conjunction with
The 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC 2009), August 29 - 31, 2009, Vancouver, Canada
ISBN
978-0-7695-3823-5
This item is made available under a Creative Commons License
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