Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
How Case-Based Reasoning and Cooperative Query Answering Techniques Support RICAD ?
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Approximate Coverage in Wireless Sensor Networks
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
The coverage problem in a wireless sensor network
Mobile Networks and Applications
Energy-Driven adaptive clustering hierarchy (EDACH) for wireless sensor networks
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Optimized clustering for maximal lifetime of wireless sensor networks
EUC'06 Proceedings of the 2006 international conference on Emerging Directions in Embedded and Ubiquitous Computing
Information Coverage in Randomly Deployed Wireless Sensor Networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
A New Polling Protocol with Efficient Cluster Creation for WSN
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Fault tolerant wireless sensor network using case based reasoning with semantic tracking
CIT'11 Proceedings of the 5th WSEAS international conference on Communications and information technology
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In wireless sensor network one of the key issues is how to maximize the network lifetime since it consists of sensor nodes of limited energy. Numerous cluster-based routing schemes have been proposed for sensor networks. Here various important factors such as sensing coverage and distribution of live nodes need to be effectively accounted in forming the clusters. In this paper we propose a new scheme which considers the nodes' remaining energy, distance between the nodes, and sensor coverage in clustering the nodes. We also employ the case-based reasoning technique in the clustering process. Compared with the existing cluster-based protocols such as LEACH and Coverage-Preserving protocol through computer simulation, the proposed scheme allows substantially enhanced network lifetime and coverage. Especially, it is more effective when the network has been used for a while and thus some nodes have become inoperable.