A new clean-slate autonomic holonic architecture for Wireless Sensor Networks

Author: 
Trang Cao Minh
Director(s): 
Dr. Boris Bellalta, Dr. Miquel Oliver
Summary: 

The limitations of resources, the number of nodes and the complexity of deployment environment in WSNs have raised new challenges to network management and network protocols which cannot be solved efficiently by existing technologies. In order to
achieve a longer network lifetime and maintain the normal operation of network, the network itself must be operated without manual intervention and it must have the ability to analysis and adapt to changes. These characteristics pose WSN ideal motivation for the development of an autonomic architecture.

In this thesis, we demonstrate that applying autonomic principles and holonic paradigms will bring a dramatic improvement to the scalability, stability, efficiency and flexibility of WSNs. We design a self organizing management architecture for WSNs to allow sensor nodes to adapt to the changes of resources and application requirements. We implement and evaluate the proposed architecture in some potential scenarios such as data collection, multiple sinks, and mobile sinks in SENSE simulator and testbed.

Status: 
In progress
Keywords: 
management, autonomic, self organizing, sensor networks