Reading List

This list is a superset of the papers we will cover in class. It is provided as a reference. You can find the papers we will cover each week in class in the class syllabus.

• Overview of CSIP
• [ZLLGR03] Feng Zhao, Jie Liu, Juan Liu, Leonidas Guibas, and James Reich, Collaborative Signal and Information Processing: An Information Directed Approach, Proceedings of the IEEE, vol. 91. No. 8, August, 2003, pp. 1199-1209. [.pdf]
• [DS03] A. D'Costa and A. Sayeed, Collaborative Signal Processing for Distributed Classification in Sensor Networks, 2nd International Workshop on Information Processing in Sensor Networks (IPSN '03), pp. 392-404, April 22-23, 2003, Palo Alto, CA. [.pdf]
• [LWHS02] D. Li, K. Wong, Y. Hu, and A. Sayeed, Detection, Classification and Tracking of Targets in Distributed Sensor Networks, IEEE Signal Processing Magazine, pp. 17-29, March 2002. [.pdf]
• Target/Source Localization
• [SH03] Xiaohong Sheng and Yu-Hen Hu, Energy Based Acoustic Source Localization, The 2nd International Workshop on Information Processing in Sensor Networks (IPSN '03), April 22-23, 2003, Palo Alto, CA. Pp. 285-300. [.pdf]
• Hanbiao Wang, Kung Yao, Greg Pottie, and Deborah Estrin, Entropy-based Sensor Selection Heuristic for Localization, In the Symposium on Information Processing in Sensor Networks (IPSN '04), Berkeley, California, April 2004.
• Joe C. Chen, Kung Yao, and Ralph E. Hudson, Source localization and beamforming, IEEE Signal Processing Magazine, vol. 19, no. 2, pp. 30-39, Mar. 2002.
• D. Blatt and A.O. Hero, APOCS: a rapidly convergent source localization algorithm for sensor networks, IEEE Workshop on Statistical Signal Processing (SSP), Bordeaux, July 2005
• M. Rabbat, R. Nowak, and J. Bucklew, Robust decentralized source localization via averaging, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005.
• Background Material
  • J. A. Bilmes, A gental tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden markov models technical report, tr97-021, International Computer Science Institute, Berkeley, CA, April 1998. [.pdf]
  • Cramer-Rao Bounds, [.html]
• Tracking Organization and Management
• F. Zhao, J. Shin, J. Reich, Information-Driven Dynamic Sensor Collaboration for Tracking Applications IEEE Signal Processing Magazine, March 2002. (http://www2.parc.com/spl/projects/cosense/pub/ieee_spm.pdf
• J.J. Liu, J. Liu, J. Reich, P. Cheung, and F. Zhao, Distributed Group Management for Track Initiation and Maintenance in Target Localization Applications Proceedings of 2nd International Workshop on Information Processing in Sensor Networks (IPSN'03), April, 2003. (http://www2.parc.com/spl/projects/cosense/pub/ipsn03a.pdf )
• J. Shin, L. Guibas, F. Zhao, A Distributed Algorithm for Managing Multi-Target Identities in Wireless Ad-Hoc Sensor Networks Proceedings of 2nd International Workshop on Information Processing in Sensor Networks (IPSN'03), April, 2003. (http://www2.parc.com/spl/projects/cosense/pub/ipsn03b.pdf )
• J. Liu, M. Chu, J. Liu, J. Reich and F. Zhao, Distributed state representation for tracking problems in sensor networks, 3rd International Symposium on Information Processing in Sensor Networks (IPSN '04), April 2004. (http://www2.parc.com/spl/projects/ecca/pubs/Liu-IPSN2004.pdf)
• Hwang, K. Roy, H. Balakrishnan, and C. J. Tomlin, A Distributed Multiple-Target Identity Management Algorithm in Sensor Networks Proceedings of the 43rd IEEE Conference on Decision and Control, Bahamas, December 2004. (http://www.stanford.edu/%7Ehamsa/pubs/CDC04_HRBT.pdf )
• [CHS04] Wei-Peng Chen, Jennifer C. Hou, and Lui Sha, Dynamic clustering for acoustic target tracking in wireless sensor networks, IEEE Trans. on Mobile Computing, Special issue self-reconfiguring in sensor networks, vol. 3, num. 3, July-September 2004. (http://lion.cs.uiuc.edu/publications/all/tmc.pdf )
• Tracking with Binary Sensors (will discuss if time permits)
  • J. Aslam, Z. Butler, F. Constantin, V. Crespi, G. Cybenko, and D. Rus, Tracking a moving object with a binary sensor network, The First ACM Conference on Embedded Networked Sensor Systems (Sensys03), November 2003. (http://www.cens.ucla.edu/sensys03/proceedings/p150-aslam.pdf )
  • Wooyoung Kim, Kirill Mechitov, Jeung-Yoon Choi, Soo Kyung Ham, On Tracking Objects with Binary Proximity Sensors, Fourth International Conference on Information Processing in Sensor Networks (IPSN '05), April 2005. (http://osl.cs.uiuc.edu/docs/ipsn05kim/ipsn05.pdf )
• Target Tracking and Data Association Algorithms (will not cover)
  • Songhwai Oh, Luca Schenato, and Shankar Sastry, A Hierarchical multiple-target tracking algorithm for sensor networks, in Proc. of the International Conference on Robotics and Automation, Barcelona, Spain, April 2005. (http://www.eecs.berkeley.edu/%7Esho/papers/icra05_hmttsn.pdf)
  • T. Vercauteren, D. Guo and X.Wang, Joint multiple target tracking and classification in collaborative sensor networks, IEEE Journal of Selected Areas in Communications, special issue on Self-organizing Distributed Collaborative Sensor Networks, 23(4), pp.714-723, April 2005. (http://www-sop.inria.fr/epidaure/personnel/Tom.Vercauteren/files/MultiTargetTrackingAndClassification-JSAC-Vercauteren.pdf )
  • L. Chen, M. Çetin, and A. S. Willsky, Distributed Data Association for Multi-Target Tracking in Sensor Networks, International Conference on Information Fusion, Philadelphia, Pennsylvania, July 2005.
  • Related Background Information
    • G. Welch and G. Bishop, An Introduction to the Kalman Filter, Technical Report, TR 95-041, Department of Computer Science, University of North Carolina at Chapel Hill, 2004. (http://www.cs.unc.edu/~welch/media/pdf/kalman_intro.pdf )
    • D. B. Reid, An algorithm for tracking multiple targets IEEE Transactions on Automatic Control, vol. 24, no. 6, pp. 843-854, 1979. (Multiple Hypothesis Tracker)
    • K.C. Chang, C.Y. Chong, and Y. Bar-Shalom, Joint probabilistic data association in distributed sensor networks, IEEE Transactions on Automatic Control, AC-31, pp. 889-897, 1986.
• Graphical Models
• [PGM] Mark A. Paskin, Carlos E. Guestrin, and Jim McFadden A Robust Architecture for Inference in Sensor Networks. In Proceedings of the Fourth International Symposium on Information Processing in Sensor Networks 2005 (IPSN-05) [.pdf]
• Kurt Plarre, P. R. Kumar and T. I. Seidman, Increasingly correct message passing algorithms for heat source detection in sensor networks, Proceedings of the First IEEE International Conference on Sensor ad Ad Hoc Networks (SECON 2004), Oct 4-7, 2004, Santa Clara. [.pdf]
• Related Background Information
  • Graphical models. M. I. Jordan. Statistical Science (Special Issue on Bayesian Statistics), 19, 140-155, 2004. [.ps.gz]
  • M. A. Paskin, A short course on graphical models, [.html]
  • S.M. Aji and R. J. McEliece, The generalized distributive law IEEE Transactions on Information Theory, vol. 46, no. 2, March 2000, pp. 325-343.
• Localization
• [PHAMKC] N. Patwari, A. O. Hero, J. Ash, R. L. Moses, S. Kyperountas, N. S. Correal, "Locating the nodes: cooperative localization in wireless sensor networks", IEEE Signal Processing Magazine ,vol. 22, no. 4, pp 54-69, July 2005. [.pdf]
• N. Priyantha and H. Balakrishnan, "The Cricket Location-Support System", Proc. 6th ACM MOBICOM Conf., Boston, MA, September 2000.
• Konrad Lorincz and Matt Welsh, "MoteTrack: A Robust, Decentralized Approach to RF-Based Location Tracking", In Proceedings of the International Workshop on Location- and Context-Awareness (LoCA 2005) at Pervasive 2005, May 2005. [.pdf]
• K. Chintalapudi, A. Dhariwal, R. Govindan, and G. Sukhatme, "Localization Using Ranging and Sectoring", in Proceedings of the IEEE Infocom, 2004. [.pdf]
• [MLRT] D. Moore, J. Leonard, D. Rus, S. Teller. "Robust distributed network localization with noisy range measurements", Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems (SenSys '04). Baltimore, MD. November 3-5, 2004. [.pdf]
• Kamin Whitehouse and David Culler, "A Robustness Analysis of Multi-hop Ranging-based Localization Approximations", The Fifth International Conference on Information Processing in Sensor Networks (IPSN '06).  Nashville, TN, April 19-21, 2006. [.pdf]
• Synchronization
• Jeremy Elson, Lewis Girod, and Deborah Estrin, "Fine-Grained Network Time Synchronization using Reference Broadcast," in Proceedings of the Fifth Symposium on Operating Systems Design and Implementation (OSDI 200), Boston, MA. December 2002. [.pdf]
• S. Ganeriwal, R. Kumar, and M. B. Srivastava, "Timing-sync protocol for sensor networks," ACM Conference on Embedded Networked Sensor Systems (SenSys 2003), 2003. [.pdf]
• [MKSL] M. Maroti, B. Kusy, G. Simon, and A. Ledeczi, " The Flooding Time Synchronization Protocol," ACM Second International Conference on Embedded Networked Sensor Systems (SenSys 04), pp. 39-49, Baltimore, MD, November 3, 2004. [.pdf]
• Qun Li and Daniela Rus, "Global Clock Synchronization in Sensor Networks," IEEE Transactions on Computers, 55(2), pages 214-226, February 2006. [.pdf]
• W. Su and I. F. Akyildiz, "Time-Diffusion Synchronization Protocol for Sensor Networks," IEEE/ACM Transactions on Networking, Vol. 13, No 2, pp. 384-398, April 2005. [.pdf]
• Calibration
• K. Whitehouse and D. Culler. "Macro-calibration in Sensor/Actuator Networks", Mobile Networks and Applications Journal (MONET), Special Issue on Wireless Sensor Networks. June, 2003. [.pdf]
• [BMEP] V. Bychkovskiy, S. Megerian, D. Estrin, and M. Potkonjak, "A Collaborative Approach to In-Place Sensor Calibration", IPSN 2003. [.pdf]
• J. Feng, G. Qu, and M. Potkonjak, "Differential On-line Sensor Calibration", 3rd IEEE Conference on Sensors (Sensors'2004), pp. 417-420, October 2004. [.pdf]
• J. Feng, G. Qu, and M. Potkonjak, "Sensor Calibration using Nonparametric Statistical Characterization of Error Models", 3rd IEEE Conference on Sensors (Sensors'2004), pp. 1456-1459, October 2004. [.pdf]
• Mark A. Paskin and Carlos E. Guestrin "Robust Probabilistic Inference in Distributed Systems", in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI-04). [.pdf]
• Tasking
• D. Yang, J. Shin, A. Ercan, and L. Guibas, ?Sensor Tasking for Occupancy Reasoning in a Camera Network," IEEE/ICST 1st Workshop on Broadband Advanced Sensor Networks (BASENETS 2004). [.pdf]
• Z. Abrams, H.-L. Chen, L. Guibas, J. Liu, and F. Zhao, "Kinetically Stable Task Assignment for Networks of Microservers", Proceedings of the 5th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2006), Nashville, TN, April 19-21, 2006. [.pdf]
• G. Mainland, D. C. Parkes, and M. Welsh, "Decentralized, Adaptive Resource Allocation for Sensor Networks", In Proceedings of the 2nd USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI 2005), May 2005. [.pdf]
• [SKGGM] V. Singhvi, A. Krause, C. Guestrin, J. Garrett, and H. S. Matthews, "Intelligent Light Control using Sensor Networks", in the 3rd ACM Conference on Embedded Networked Sensor Systems (SenSys 2005), San Diego, November 2005. [.pdf]
• C. Kreucher, A. Hero, and K. Kastella, "A Comparison of Task Driven and Information Driven Sensor Management for Target Tracking," The 44th IEEE Conference on Decision and Control (CDC) Special Session on Information Theoretic Methods for Target Tracking, December 12-15. [.pdf]