Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
UDC: a self-adaptive uneven clustering protocol for dynamic sensor networks
International Journal of Sensor Networks
ABP: a low-cost, energy-efficient clustering algorithm for relatively static and quasi-static MANETs
International Journal of Sensor Networks
HCEP: a hybrid cluster-based energy-efficient protocol for wireless sensor networks
International Journal of Sensor Networks
An Interlaced Extended Kalman Filter for sensor networks localisation
International Journal of Sensor Networks
Energy conservation in clustered wireless sensor networks
International Journal of Sensor Networks
Target tracking in wireless sensor networks using compressed Kalman filter
International Journal of Sensor Networks
A Lightweight Collaborative Fault Tolerant Target Localization System for Wireless Sensor Networks
IEEE Transactions on Mobile Computing
A distributed algorithm for energy-aware clustering in WSN
International Journal of Sensor Networks
An efficient cluster-based self-organisation algorithm for wireless sensor networks
International Journal of Sensor Networks
Clustering mesh-like wireless sensor networks with an energy-efficient scheme
International Journal of Sensor Networks
A Distributed Wakening Based Target Tracking Protocol for Wireless Sensor Networks
ISPDC '10 Proceedings of the 2010 Ninth International Symposium on Parallel and Distributed Computing
HEEP (Hybrid Energy Efficiency Protocol) based on chain clustering
International Journal of Sensor Networks
Tracking a moving object via a sensor network with a partial information broadcasting scheme
Information Sciences: an International Journal
IEEE Transactions on Mobile Computing
An energy-efficient adaptive clustering algorithm with load balancing for wireless sensor network
International Journal of Sensor Networks
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Dynamic clustering is an effective approach in target tracking. However, the energy consumption of cluster head is relatively high, and the failure of cluster head will lead to target loss. In this paper, we proposed a new cluster with two heads which can track the targets collaboratively based on improved extended Kalman filter with a changeable sampling period. An auxiliary cluster head, selected according to the principles of maximum residual energy and shortest distance, is used to predict the target trajectory using improved EKF. The targets are tracked collaboratively by the cluster head and auxiliary head with a lightweight fault-tolerant mechanism. An adaptive sampling algorithm is designed based on average velocity estimation to change the sampling period, and the target loss probability and energy consumption are reduced significantly. The protocol is tested extensively and compared to other existing methods. The results clearly indicate the benefits of our algorithm in terms of the tracking accuracy, energy consumption and target loss probability.