Energy-Efficient Tracking of Continuous Objects in Wireless Sensor Networks

Authors:
Jung-Hwan Kim;Kee-Bum Kim;Chauhdary Sajjad Hussain;Min-Woo Cui;Myong-Soon Park
Affiliations:
Department of Computer Science and Engineering, Korea University, Seoul, Korea;Department of Computer Science and Engineering, Korea University, Seoul, Korea;Department of Computer Science and Engineering, Korea University, Seoul, Korea;Department of Computer Science and Engineering, Korea University, Seoul, Korea;Department of Computer Science and Engineering, Korea University, Seoul, Korea
Venue:
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Year:
2008

Citing 2
Cited 1

A dual-space approach to tracking and sensor management in wireless sensor networks

WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Tracking multiple targets using binary proximity sensors

Proceedings of the 6th international conference on Information processing in sensor networks

On detection and tracking of variant phenomena clouds

ACM Transactions on Sensor Networks (TOSN)

Quantified Score

Hi-index	0.00

Visualization

Abstract

The proliferation of research on target detection and tracking in wireless sensor networks has kindled development of tracking continuous objects such as fires, bio-chemical material diffusion. In this paper, we propose an energy-efficient algorithm that detects and monitors a moving event region by selecting only a subset of nodes near object boundaries. The paper also shows that we can effectively reduce report message size. It is verified with simulation results that overall size of the report message as well as the number of nodes that transmit the report message to the sink can be significantly reduced especially when the density of nodes deployed over the network field is high.