Energy-Efficient Distributed Adaptive Multisensor Scheduling for Target Tracking in Wireless Sensor Networks
- 14 October 2008
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Instrumentation and Measurement
- Vol. 58 (6), 1886-1896
- https://doi.org/10.1109/tim.2008.2005822
Abstract
Due to uncertainties in target motion and limited sensing regions of sensors, single-sensor-based collaborative target tracking in wireless sensor networks (WSNs), as addressed in many previous approaches, suffers from low tracking accuracy and lack of reliability when a target cannot be detected by a scheduled sensor. Generally, actuating multiple sensors can achieve better tracking performance but with high energy consumption. Tracking accuracy, reliability, and energy consumed are affected by the sampling interval between two successive time steps. In this paper, an adaptive energy-efficient multisensor scheduling scheme is proposed for collaborative target tracking in WSNs. It calculates the optimal sampling interval to satisfy a specification on predicted tracking accuracy, selects the cluster of tasking sensors according to their joint detection probability, and designates one of the tasking sensors as the cluster head for estimation update and sensor scheduling according to a cluster head energy measure (CHEM) function. Simulation results show that, compared with existing single-sensor scheduling and multisensor scheduling with a uniform sampling interval, the proposed adaptive multisensor scheduling scheme can achieve superior energy efficiency and tracking reliability while satisfying the tracking accuracy requirement. It is also robust to the uncertainty of the process noise.Keywords
This publication has 19 references indexed in Scilit:
- Efficient in-network moving object tracking in wireless sensor networksIEEE Transactions on Mobile Computing, 2006
- Multi-Sensor Scheduling for Reliable Target Tracking in Wireless Sensor NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- VigilNetACM Transactions on Sensor Networks, 2006
- The sensor selection problem for bounded uncertainty sensing modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Dynamic clustering for acoustic target tracking in wireless sensor networksIEEE Transactions on Mobile Computing, 2004
- Covariance control for multisensor systemsIEEE Transactions on Aerospace and Electronic Systems, 2002
- Estimation with Applications to Tracking and NavigationPublished by Wiley ,2002
- Evolutionary control of an autonomous fieldPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- An active testing model for tracking roads in satellite imagesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- A measure of the information gain attributable to cueingIEEE Transactions on Systems, Man, and Cybernetics, 1991