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In the past few years wireless sensor networks have received a greater interest in application such as disaster management, border protection, combat field reconnaissance and security surveillance. Wireless sensor networks are composed of large number of sensor nodes, which are limited in resources i.e. memory, energy and computation power. Wireless sensor networks (WSNs) facilitate monitoring and controlling of physical environment from remote location with better accuracy.Sensor nodes are expected to operate autonomously in unattended environments and potentially in large numbers. Wireless sensor networks are prone to network dynamics such as node dying, being disconnected, node power on or off, and new nodes joining the network due to inhospitable environment and unattended deployment. Therefore, sensor networks need to be able to self-reconfigure themselves without knowing anything about network topology in advance. In this paper we propose a cellular self-configurable architecture for wireless sensor networks to energy efficiently re-organize the network topology due to network dynamics. The initial design of the cellular architecture has been described in a previous work and has been used in the context of fault management. The results obtained from simulation have shown that our self-configurable architecture is more energy efficient and achieves better energy consumption distribution.

In this paper, we propose a lightweight middleware system that supports Wireless Sensor Networks (WSNs) to handle real-time network management using a hierarchical framework. The primary objective of this middleware is to provide standard management services for sensor applications to maintain network service quality with minimal human intervention. Middleware of sensor node also reconfigures its functionality autonomously to reflect changes of node resources expenditure or network environment. In addition, we propose an alternate power management solution to achieve energy efficiency of sensor networks via controlling management performance of sensor nodes. This approach reduces node energy consumption without frequent reconfiguration of network management structure. Keywords: network management; self-organised middleware; self-managed sensor network. Reference to this paper should be made as follows: Yu, M., Mokhtar, H. and Merabti, M. (2008) 'A self-organised middleware architecture for Wireless Sensor Network management', Int. his MSc in Computing and Information System at LJMU in 2001 and is approaching his doctoral thesis, which looks into the design of the self-regenerative adaptation middleware that provides real-time system adaptation across various existing/emerging service invocation standards. His current research project funded by EPSRC is titled A Monitoring and Controlling Framework for Wireless Sensor/Actor Networks. Hala Mokhtar is a Senior Lecturer at the School of Computing and Mathematical Sciences, Liverpool John Moores University (JMU). She received her PhD in LJMU in 2002. Her current research interest includes sensor networking, mobile networks, network appliances and network architecture.Madjid Merabti is a Director and Head of Research at the School of Computing and Mathematical Sciences, Liverpool John Moores University (JMU). He is a Graduate of Lancaster University. He has over 90 publications in these areas and he leads the Distributed Multimedia Systems Group, which has a number of government and industry-supported research projects in the areas of multimedia networking, differential services networking, mobile networks, networked appliances, sensor networks, intrusion detection and network security architectures. He is collaborating with a number of international colleagues in the above areas.