Autonomous management and control of sensor network-based applications
|Title:||Autonomous management and control of sensor network-based applications||Authors:||Ruzzelli, Antonio G.
O'Hare, G. M. P. (Greg M. P.)
|Permanent link:||http://hdl.handle.net/10197/1809||Date:||Aug-2009||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.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||IEEE Computer Society||Copyright (published version):||2009 IEEE||Subject LCSH:||Wireless sensor networks--Decision making
Intelligent agents (Computer software)
|DOI:||10.1109/CSE.2009.480||Language:||en||Status of Item:||Peer reviewed||Is 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|
|Appears in Collections:||CLARITY Research Collection|
Computer Science Research Collection
Show full item record
Page view(s) 10186
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.