Information Content-Based Sensor Selection and Transmission Power Adjustment for Collaborative Target Tracking

For target tracking applications, wireless sensor nodes provide accurate information since they can be deployed and operated near the phenomenon. These sensing devices have the opportunity of collaboration among themselves to improve the target localization and tracking accuracies. An energy-efficient collaborative target tracking paradigm is developed for wireless sensor networks (WSNs). A mutual-information-based sensor selection (MISS) algorithm is adopted for participation in the fusion process. MISS allows the sensor nodes with the highest mutual information about the target state to transmit data so that the energy consumption is reduced while the desired target position estimation accuracy is met. In addition, a novel approach to energy savings in WSNs is devised in the information-controlled transmission power (ICTP) adjustment, where nodes with more information use higher transmission powers than those that are less informative to share their target state information with the neighboring nodes. Simulations demonstrate the performance gains offered by MISS and ICTP in terms of power consumption and target localization accuracy.

[1]  V. Veeravalli,et al.  Robust and locally-optimum decentralized detection with censoring sensors , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

[2]  Yaakov Bar-Shalom,et al.  Tracking with debiased consistent converted measurements versus EKF , 1993 .

[3]  Y. Bar-Shalom,et al.  Censoring sensors: a low-communication-rate scheme for distributed detection , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Rick S. Blum,et al.  Distributed detection with multiple sensors I. Advanced topics , 1997, Proc. IEEE.

[5]  Jason Liu,et al.  Experimental evaluation of wireless simulation assumptions , 2004, MSWiM '04.

[6]  Parameswaran Ramanathan,et al.  Distributed target classification and tracking in sensor networks , 2003 .

[7]  Richard R. Brooks,et al.  Traffic Model Evaluation of Ad Hoc Target Tracking Algorithms , 2002, Int. J. High Perform. Comput. Appl..

[8]  Biao Chen,et al.  Decision fusion with censored sensors , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[9]  David G. Stork,et al.  Pattern Classification , 1973 .

[10]  Feng Zhao,et al.  Information-Driven Dynamic Sensor Collaboration for Tracking Applications , 2002 .

[11]  Leonidas J. Guibas,et al.  A dual-space approach to tracking and sensor management in wireless sensor networks , 2002, WSNA '02.

[12]  Thiagalingam Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation , 2001 .

[13]  Alexei Makarenko,et al.  Information-theoretic coordinated control of multiple sensor platforms , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[14]  Tian He,et al.  Differentiated surveillance for sensor networks , 2003, SenSys '03.

[15]  John W. Fisher,et al.  Maximum Mutual Information Principle for Dynamic Sensor Query Problems , 2003, IPSN.

[16]  K. Giammarco,et al.  Development and analysis of integrated C4ISR architectures , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

[17]  Kim-Chuan Toh,et al.  Semidefinite Programming Approaches for Sensor Network Localization With Noisy Distance Measurements , 2006, IEEE Transactions on Automation Science and Engineering.

[18]  Feng Zhao,et al.  Information-driven dynamic sensor collaboration , 2002, IEEE Signal Process. Mag..

[19]  Alfred O. Hero,et al.  Hierarchical censoring for distributed detection in wireless sensor networks , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[20]  Parameswaran Ramanathan,et al.  Sensor deployment strategy for target detection , 2002, WSNA '02.

[21]  G. Pottie,et al.  Entropy-based sensor selection heuristic for target localization , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[22]  Zack J. Butler,et al.  Event-Based Motion Control for Mobile-Sensor Networks , 2003, IEEE Pervasive Comput..

[23]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[24]  N. A. Vasanthi,et al.  Energy Saving Schedule for Target Tracking Sensor Networks to Maximize the Network Lifetime , 2006, 2006 1st International Conference on Communication Systems Software & Middleware.

[25]  Bhaskar Krishnamachari,et al.  Distributed Constraint Satisfaction in a Wireless Sensor Tracking System , 2001 .

[26]  F. Bolderheij.  Mission-driven sensor management , 2008 .

[27]  Di Tian,et al.  A node scheduling scheme for energy conservation in large wireless sensor networks , 2003, Wirel. Commun. Mob. Comput..

[28]  Alfred O. Hero,et al.  Hierarchical censoring sensors for change detection , 2003, IEEE Workshop on Statistical Signal Processing, 2003.

[29]  P. Gross,et al.  Assuring Operational Continuity in C4ISR Facilities , 2006, 2006 IEEE Industrial and Commercial Power Systems Technical Conference - Conference Record.

[30]  Wei Wang,et al.  Coverage for target localization in wireless sensor networks , 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

[31]  Feng Zhao,et al.  Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks , 2002, Int. J. High Perform. Comput. Appl..

[32]  Pramod K. Varshney,et al.  Distributed detection with multiple sensors I. Fundamentals , 1997, Proc. IEEE.

[33]  Yu Hen Hu,et al.  Detection, classification, and tracking of targets , 2002, IEEE Signal Process. Mag..

[34]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[35]  Shashi Phoha,et al.  Tracking targets with self-organizing distributed ground sensors , 2003, 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).

[36]  Bhaskar Krishnamachari,et al.  Energy-Quality Tradeoffs for Target Tracking in Wireless Sensor Networks , 2003, IPSN.

[37]  Deborah Estrin,et al.  Collaborative Sensor Networking Towards Real-Time Acoustical Beamforming in Free-Space and Limited Reverberance , 2004, IEEE Trans. Mob. Comput..

[38]  Richard R. Brooks,et al.  Self-Organized Distributed Sensor Network Entity Tracking , 2002, Int. J. High Perform. Comput. Appl..

[39]  Leonidas J. Guibas,et al.  Counting Targets: Building and Managing Aggregates in Wireless Sensor Networks , 2002 .

[40]  Nils F. Sandell,et al.  Distributed data association for Multi-target tracking in sensor networks , 2008, 2008 47th IEEE Conference on Decision and Control.

[41]  A. Benaskeur,et al.  Threat evaluation and weapons allocation in network-centric warfare , 2005, 2005 7th International Conference on Information Fusion.

[42]  Roger Wattenhofer,et al.  Received-signal-strength-based logical positioning resilient to signal fluctuation , 2005, Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Network.

[43]  Lui Sha,et al.  Dynamic clustering for acoustic target tracking in wireless sensor networks , 2003, IEEE Transactions on Mobile Computing.