Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
Vehicle classification in distributed sensor networks
Journal of Parallel and Distributed Computing
Energy-Efficient Data Aggregation Hierarchy for Wireless Sensor Networks
Proceedings of the Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
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In this paper, we develop an energy and bandwidth efficient approach for target classification in sensor networks. Instead of adopting decision fusion to reduce network traffic as some recent research, we try to realize energy efficient target classification from a computational point of view. Our contribution is we propose a novel tree construction algorithm that autonomously organizes the distributed computation resources to execute the trained BP-network (BPN) in parallel manner. We evaluate the performance of our parallel computing paradigm compared to the traditional client/server-based computing paradigm from perspectives of energy consumption and communication traffic through analytical study. Finally, we take a target classification experiment to show the effectiveness of the proposed computing paradigm.