Distributed consensus-based tracking in Wireless Sensor Networks: A practical approach

European Signal Processing Conference

Volumn , Issue , 2011, Pages 2019-2023

  Bejar B ^a   Belanovic, P ^a   Zazo, S ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COOPERATIVE LOCALIZATION; DISTRIBUTED TRACKING; ENERGY EFFICIENT; MISBEHAVING NODES; NETWORK TOPOLOGY; PRACTICAL IMPORTANCE; WIRELESS SENSOR;

ELECTRIC NETWORK TOPOLOGY; SIGNAL PROCESSING; TARGET TRACKING;

SENSOR NODES;

EID: 84863763722     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. A. H. Sayed, A. Tarighat, and N. Khajehnouri, "Network- Based Wireless Location," IEEE Signal Processing Magazine, vol. 22, pp. 24-40, July 2005.
2. R. E. Kalman, "A New Approach to Linear Filtering and Prediction Problems," Transactions of the ASME- Journal of Basic Engineering, vol. 82, no. Series D, pp. 35-45, 1960.
3. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Trans. Signal Process., vol. 50, no. 2, pp. 174-188, 2002.
4. G. V. Záruba, M. Huber, F. A. Kamangar, and I. Chlamtac, "Indoor location tracking using RSSI readings from a single Wi-Fi access point,"Wirel. Netw., vol. 13, no. 2, pp. 221-235, 2007.
5. Y. Tai and Y. Bo, "Collaborative target tracking in wireless sensor network," in Proc. 9th Int. Conf. Electronic Measurement & Instruments ICEMI '09, 2009, pp. 2- 1005.
6. H. Wu, G. Tian, and B. Huang, "Multi-robot collaborative localization methods based on Wireless Sensor Network," in Proc. IEEE Int. Conf. Automation and Logistics ICAL 2008, 2008, pp. 2053-2058.
7. H. Ren and M. Q.-H. Meng, "Power Adaptive Localization Algorithm for Wireless Sensor Networks Using Particle Filter," IEEE Trans. Veh. Technol., vol. 58, no. 5, pp. 2498-2508, 2009.
8. F. Aounallah, R. Amara, and M. T.-H. Alouane, "Particle Filtering Based on Sign of Innovation for Tracking a Jump Markovian Motion in a Binary WSN," in Proc. Third Int. Conf. Sensor Technologies and Applications SENSORCOMM '09, 2009, pp. 252-255.
9. S. J. Julier, J. K. Uhlmann, and H. F. Durrant-Whyte, "A New Approach for Filtering Nonlinear Systems," in Proceedings of the American Control Conference, Seattle, Washington, 1995, pp. 1628 - 1632.
10. S. Julier and J. Uhlmann, "A New Extension of the Kalman Filter to Nonlinear Systems," in in Int. Symp. Aerospace/Defense Sensing, Simul. and Controls, 1997, pp. 182-193.
11. R. van der Merwe, "Sigma-point kalman filters for probabilistic inference in dynamic state-space models," Ph.D. dissertation, OGI School of Science & Engineering, Oregon Health & Science University, Portland, OR, USA, April 2004.
12. B. Bejar, P. Belanovic, and S. Zazo, "Distributed Gauss- Newton Method for Localization in Ad-Hoc Networks," in 43rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, November 2010.
13. N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero, R. L. Moses, and N. S. Correal, "Locating the Nodes," IEEE Signal Processing Magazine, vol. 22, pp. 54-68, July 2005.
14. N. Patwari, A. O. Hero, M. Perkins, and N. S. Correal, "Relative Location Estimation in Wireless Sensor Networks," IEEE Transactions on Signal Processing, vol. 51, pp. 2137-2148, 2003.
15. R. Olfati-Saber and R. Murray, "Consensus Problems in Networks of Agents with Switching Topology and Time- Delays," IEEE Trans. Autom. Control, vol. 49, no. 9, pp. 1520-1533, September 2004.