By Topic

Adaptive Control and Reconfiguration of Mobile Wireless Sensor Networks for Dynamic Multi-Target Tracking

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Xi Zhang ; Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA

We propose the adaptive control and reconfiguration schemes for mobile wireless sensor networks (MWSN) to achieve timely and accurate mobile multi-target tracking (MMTT) with cost-effective energy consumption. In particular, our proposed schemes can detect the mobile multi-targets' random appearance and disappearance in the clutter environments with high accuracy and low energy cost. We develop the optimal mutual-information based techniques to adaptively control the reconfiguration of the proposed MWSN by designing the Distributed/Decentralized Probability Hypothesis Density (DPHD) filtering algorithms. By dynamically adjusting the sensors' states, including their positions and activations, our schemes can efficiently improve the observabilities of the tracked multi-targets. We further analyze the asymptotic performance of our proposed schemes by deriving the upper-bounds of the detection-error probabilities. Also presented are the performance analyses which validate and evaluate our proposed adaptive control and reconfiguration schemes for MWSN in terms of the multi-target states estimation accuracy, the energy-consumption efficiency, and the robustness to the interference/noise.

Published in:

Automatic Control, IEEE Transactions on  (Volume:56 ,  Issue: 10 )