Fast track article: Gradient-based target localization in robotic sensor networks

Authors:
Qingquan Zhang;Gerald E. Sobelman;Tian He
Affiliations:
Department of Electrical and Computer Engineering, University of Minnesota, USA;Department of Electrical and Computer Engineering, University of Minnesota, USA;Department of Computer Science and Engineering, University of Minnesota, USA
Venue:
Pervasive and Mobile Computing
Year:
2009

Citing 13
Cited 1

Wireless sensor networks for habitat monitoring

WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet

Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Robot Navigation for Automatic Model Construction Using Safe Regions

ISER '00 Experimental Robotics VII
Distributed communication algorithms for ad hoc mobile networks

Journal of Parallel and Distributed Computing - Special issue on wireless and mobile ad hoc networking and computing
Distributed algorithms for guiding navigation across a sensor network

Proceedings of the 9th annual international conference on Mobile computing and networking
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks

IEEE Transactions on Mobile Computing
Wireless Sensor Networks and Radio Localization: A Metrological Analysis of the MICA2 Received Signal Strength Indicator

LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
A line in the sand: a wireless sensor network for target detection, classification, and tracking

Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Node Localization Using Mobile Robots in Delay-Tolerant Sensor Networks

IEEE Transactions on Mobile Computing
TARANTULAS: Mobility-enhanced Wireless Sensor-Actuator Networks

SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06) - Volume 01
VigilNet: An integrated sensor network system for energy-efficient surveillance

ACM Transactions on Sensor Networks (TOSN)
Robust and timely communication over highly dynamic sensor networks

Real-Time Systems
TwinsNet: a cooperative MIMO mobile sensor network

UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing

Robot algorithms for localization of multiple emission sources

ACM Computing Surveys (CSUR)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Fast target localization without a map is a challenging problem in search and rescue applications. We propose and evaluate a novel gradient-based method which uses statistical techniques to estimate the position of a stationary target. Mobile nodes can then be directed toward the target using the shortest path. Moreover, localization can be achieved without any assistance from stationary sensor networks. Simulation results demonstrate nearly a 40% reduction in target acquisition time compared to a random walk model. In addition, our method can generate a position prediction map which closely matches the actual distribution in the field. Finally, experiments have been performed using MicaZ motes which further validate our techniques.