Advanced Engineering Mathematics: Maple Computer Guide
Advanced Engineering Mathematics: Maple Computer Guide
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Collaborative signal processing for target tracking in distributed wireless sensor networks
Journal of Parallel and Distributed Computing
Distributed clustering algorithms for data-gathering in wireless mobile sensor networks
Journal of Parallel and Distributed Computing
Dynamic clustering for object tracking in wireless sensor networks
UCS'06 Proceedings of the Third international conference on Ubiquitous Computing Systems
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
IEEE Transactions on Wireless Communications
Self-organization in communication networks: principles and design paradigms
IEEE Communications Magazine
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
A biologically inspired networking model for wireless sensor networks
IEEE Network: The Magazine of Global Internetworking - Special issue on biologically inspired networking
A Review on Hierarchical Routing Protocols for Wireless Sensor Networks
Wireless Personal Communications: An International Journal
Journal of High Speed Networks
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Wireless sensor networks (WSNs) have emerged in strategic applications such as target detection, localization, and tracking in battlefields, where the large-scale nature renders centralized control prohibitive. In addition, the finite batteries in sensor nodes demand energy-aware network control. In this paper, we propose an energy-efficient topology management model that allows clustered nodes to act upon imminent targets in a purely distributed and autonomous fashion, which is inspired by the biological inter-cell lateral induction models. In particular, nodes in the target vicinity collaborate to form clusters based on their relative observation quality values. The energy efficiency of the proposed approach is examined against reference protocols.