Optimal shortest path queries in a simple polygon
Journal of Computer and System Sciences
A generic solution to polygon clipping
Communications of the ACM
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
On target tracking with binary proximity sensors
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Planning Algorithms
Distributed Mobility Management for Target Tracking in Mobile Sensor Networks
IEEE Transactions on Mobile Computing
Hi-index | 0.00 |
Existing target tracking algorithms require the tracker to have access to information-rich sensors, and may have difficulty recovering when the target is out of the tracker's sensing range. In this paper, we present a target tracking algorithm that combines an extremely simple mobile robot with a networked collection of wireless sensor nodes, each of which is equipped with an unreliable, limited-range, boolean sensor for detecting the target. The tracker maintains close proximity to the target using only information sensed by the network, and can effectively recover from temporarily losing track of the target. Our approach combines a protocol for the sensor network that conserves energy by dynamically adjusting the time-to-live for packets it transmits with a reactive strategy for the tracker based on its information state. We present an implementation along with experimental results. Our experimental results show that our system achieves both good tracking precision and low energy consumption.