Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Analysis on the redundancy of wireless sensor networks
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Practical lazy scheduling in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Prediction-based monitoring in sensor networks: taking lessons from MPEG
ACM SIGCOMM Computer Communication Review - Special issue on wireless extensions to the internet
Tracking Targets with Quality inWireless Sensor Networks
ICNP '05 Proceedings of the 13TH IEEE International Conference on Network Protocols
A survey of application distribution in wireless sensor networks
EURASIP Journal on Wireless Communications and Networking
Energy efficient system partitioning for distributed wireless sensor networks
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
RARE: An Energy-Efficient Target Tracking Protocol for Wireless Sensor Networks
ICPPW '07 Proceedings of the 2007 International Conference on Parallel Processing Workshops
Adaptive location updates for mobile sinks in wireless sensor networks
The Journal of Supercomputing
Herd-Based Target Tracking Protocol in Wireless Sensor Networks
WASA '09 Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications
Information Sciences: an International Journal
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Target tracking is one application of wireless sensor networks and energy efficient target tracking algorithms that can be used for accurate tracking are highly desired. In order to achieve energy savings, we focus on reducing energy usage by limiting the number of sensors used to track a target through monitoring their data quality and by limiting the amount of data being sent to the cluster head. We propose an energy efficient target tracking protocol that uses two algorithms to accomplish this goal. Simulation studies show that the network lifetime is extended up to 35% with application of both algorithms and that the side effect on target tracking accuracy is not too negative.