Autonomous Management and Control of Sensor Network-Based Applications

—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 disti...

• Type: Conference
• Year: 2009
• Where: CSE
• Authors: Antonio G. Ruzzelli, Conor Muldoon, Anthony Schoofs, Tiziana Campana, Gregory M. P. O'Hare, Richard Tynan
• Keywords: Computer Science And Engineering, CSE 2009, Network Management, Network Topology, Sensor Network Research