On Localized Prediction for Power Efficient Object Tracking in Sensor Networks
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Differentiated surveillance for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Tracking moving devices with the cricket location system
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Power conservation and quality of surveillance in target tracking sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Prediction-based monitoring in sensor networks: taking lessons from MPEG
ACM SIGCOMM Computer Communication Review - Special issue on wireless extensions to the internet
Energy balancing cooperative diversity for wireless sensor networks
International Journal of Communication Networks and Distributed Systems
An energy efficient method for tracking mobile ubiquitous robots using wireless sensor network
PWC'06 Proceedings of the 11th IFIP TC6 international conference on Personal Wireless Communications
Hi-index | 0.00 |
Since it is difficult to replace batteries of the sensor nodes that are once deployed in the field, energy saving is one of the most critical issues for object tracking in wireless sensor networks. It is desirable that only the nodes surrounding the mobile target should be responsible for observing the target to save the energy consumption and extend the network lifetime as well by reducing the number of participating nodes. The number of nodes participating in object tracking can be reduced by an accurate estimation of the target location. In this paper, we propose a tracking method that can reduce the number of participating sensor nodes for target tracking. We show that our tracking method performs well in terms of energy saving regardless of mobility pattern of the mobile target.