Wireless Communications - Maja Bystrom

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4. “CDMA IS-95 for Cellular and PCS”, L. Harte, M. Hoenig, D. McLaughlin, and R. Kikta, McGraw-Hill: New York, 1999.

5. “Direct Broadcast Satellite Communications”, D.C. Mead, Addison-Wesley: Upper Saddle River, NJ, 2000.

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IEEE P802.11 Wireless LANs - Extensions to 802.11v Co-located Interference

[1] Wireless Devices Operating in Unlicensed Frequency Bands”. Aug. 2003.

[2] “Specification of the Bluetooth System: Wireless Connections Made Easy. Version 2.1 + EDR”. Jul. 2007.

[3] IEEE P802.11s/D1.08, “Draft standard for information technology – Telecommunications and information IEEE Std 802.11-2007, “IEEE Standard for information technology – Telecommunications and information exchange between systems – Local and metropolitan area networks – Specific requirements – Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications”. Jun. 2007.

[4] IEEE P802.11v/D1.03, “Draft standard for information technology – Telecommunications and information exchange between systems – Local and metropolitan area networks – Specific requirements – Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications – Amendment 9: Wireless Network Management”. Dec. 2007.

[5] IEEE Std 802.15.2-2003, “IEEE recommended practice for information technology – Telecommunications and information exchange between systems – Local and metropolitan area networks – Specific requirements – Part 15.2: Coexistence of Wireless Personal Area Networks with Other exchange between systems – Local and metropolitan area networks – Specific requirements – Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications – Amendment: Mesh Networking”. Jan. 2008.

Jon Rosdahl

Space-Time Adaptive Processing (STAP) in Wireless Communications

1. T.K. Sarkar, “Space-time adaptive processing using circular arrays”, in IEEE Antennas and Propagation Magazine, Vol: 43 Issue 4, Aug. 2001 pp793-794.

2. P.G. Richardson, “STAP covariance matrix structure and its impact on clutter plus jamming suppression solutions”, Electronics Letters, Vol: 37 Issue: 2, Jan. 2001 pp118-119.

3. Kehu Yang, “A signal subspace-base subband approach to space-time adaptive processing for mobile communications”, IEEE Transactions on Signal Processing, Vol: 49 Issue: 2, Feb. 2001 pp401-413.

4. Tapan Sarkar, “A deterministic least-squares approach to space-time adaptive processing (STAP)”, IEEE Transactions on Antennas and Propagation, Vol: 49 Issue: 1, Jan 2001 pp91-103.

5. G.A. Fabrizio, “An advanced STAP implementation for surveillance radar systems”, IEEE Signal Processing Workshop on Statistical Signal Processing, 2001 pp134-137.

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7. Sheeyun Park, “Prevention of signal cancellation in an adaptive nulling problem”, Antennas and Propagation Society International Symposium, 1997. IEEE., 1997 Digest, Vol: 2, 1997, pp1040-1043.

8. Adve, “A two stage hybrid space-time adaptive processing algorithm”, Radar Conference, 1999. The Record of the 1999 IEEE, 1999, pp279-284.

Bobby Barnes

Sensors and Wireless Communication for Medical Care

Agrawal, D. P.; Zeng, Q. Introduction to Wireless and Mobile Systems. Brooks/Cole Thompson Learning, 2002. Pages: 450.

Austen, Ian. “Bouncing Signals Push the Limits of Bandwidth.” The New York Times 16 Jan. 2003: E5.

Bhargava, B.; Kamisetty, S.; and Madria, S. “Fault Tolerant Authentication in Mobile Computing”in Proceedings of International Conference on Internet Computing (IC, 2000), Special Sessions on New Paradigms in Computer Security, pp. 176-185, June 2000.

Biedka, T, et al. Smart antenna for handsets. DSPS Fest, 2000.

Cam-Winget, N., Housley, R., Wagner, D., Walker, J. “Security Flaws in 802.11 Data Link Protocols,” CACM. May 2003.

Chessa, S.; Santi, P. “Crash Faults Identification in Wireless Sensor Networks.” Computer Communications. Vol. 25, No. 14, pp. 1273-1282, Sept. 2002.

Costlow, Terry. “Despite Successes, Telemedicine’s Future is Clouded With Questions.” Today’s Engineer. Dec. 2002.

Doherty, I., Waneke, B. A., Boser, B. E., Pister, K. S. J. “Energy and Performance Considerations for Smart Dust.” International Journal of Parallel and Distributed Systems and Networks, Vol. 4, No. 3, 2001, pp. 121-133.

Estrin, D.; Girod, L.; Pottie, G.; and Srivastava, M. “Instrumenting the World with Wireless Sensor Networks.” International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2001), Salt Lake City, Utah, May 2001.

Fussman, Cal. “The guru.” Esquire Dec. 2002.

Gohring, Nancy. “Because it’s there: Putting Everest Online.” The New York Times 23 Jan. 2003: E1+.

Grady, Denise. “Forgotten Surgical Tools ‘Uncommon but Dangerous.’” The New York Times 21 Jan. 2003: D5.

Habib, A.; Hefeeda, M.; and Bhargava, B. "Detecting Service Violations and DoS Attacks," in Proc. Network and Distributed System Security Symposium (NDSS '03), San Diego, Feb 2003.

Housley, R., Arbaugh, W. “Security Problem in 802.11 based networks,” CACM. May 2003.

Inerowicz, H.; Howell, S.; and Regnier, F.; and Reifenberger, R. “Protein Microarray Fabrication for Immunosensing.” Proceedings of 224^th American Chemical Society (ACS) National Meeting, Aug. 2002.

Iyenger, S.S.; Brooks, R. Distributed Sensor Networks. CRC Press, Inc. 2003.

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Iyenger, S. S., Wu, Q. “Computational Aspects of Sensor Networks”, International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN’02, May 2002. pp. 23-30.

Kessler, Michelle. “High tech’s latest bright idea: Shared computing.” USA Today 9 Jan. 2003: B1+.

Khan, M.; Bhargava, B.; Agrawal, S.; Lilien, L.; and Pankaj. “Self-configuring Node Clusters and Data Aggregation in Microsensor Networks.” Technical Report, Computer Science Department, Purdue University, July 2002.

Khan, M., Katz, R. H., Pister, K. S. J. “Emerging Challenges: Mobile Networking for Smart Dust”, Journal of Communication Networks, Vol. 2, No. 3, Sept. 2000.

Khan, M., Katz, R. H., Pister, K. S. J. “Next Century Challenges: Mobile Networking for Smart Dust”, Mobicomm 99, 1999, pp. 271-278.

Koltick, D.; Kim, Y. Integrated Detection of Hazardous Materials to appear in proceedings of American Physical Society, 2003.

Krishnamachari, B., Estrin, D., Wicker, S. “The Impact of Data Aggregation in Wireless Sensor Networks,” Proc. Of the International Workshop on Distributed Event Based Systems (DEBS), Vienna, Austria, July 2002.

Kulik, J., Heinzelman, W. R., Balakrishnan, H. “Negotiation-Based Protocols for Disseminating Information in Wireless Sensor Networks,” Wireless Networks, Vol. 8, 2002, pp. 169-185.

Meguerdichian, S., Slijepcevic, S., Karayan, V., Potkonjak, M. “Localized Algorithms in Wireless Ad-hoc Networks: Location Discovery and Sensor Exposure,” MobiHOC, 2001, pp. 106-116.

Min, R. “An Architecture for a Power-Aware Distributed Microsensor Node.” IEEE Workshop on Signal Processing Systems (SiPS ’00) October 2000.

Park, S., Savvides, A., Srivastava, M. B. “Simulating Networks of Wireless Sensor Networks,” Proceedings of the 2002 Winter Simulation Conference, 2001, pp. 1330-1338.

Perrig, A.; Szewczyk, R.; Wen, V.; Culler, D.; and Tygar, J. “SPINS: Security protocols for sensor networks.” Proceedings of the 7^th Annual International Conference on Mobile Computing and Networks (MobiCom), pp. 189-199. 2001.

Porterfield, Deborah. “Digital pen’s features might be draw for some.” Journal and Courier 6 Jan. 2003: B7.

Pottie, G. J.; Kaiser, W. J. “Wireless Integrated Network Sensors,” Communications of the ACM. Vol. 43, No. 5, pp. 551-558, May 2000

Reid, G.E.; McLuckey, S. A. “ “Top Down” Protein Characterization by Tandem Mass Spectrometry.” Journal of Mass Spectrom. 2002, 37, pp. 663-675.

Riff, Kenneth. “A Physician With a Dash of Engineer.” The New York Times 5 Jan. 2003.

Schurgers, C., Tsiatsis, V., Gaberiwal, S., Srivastava, M. “Topology Management for Sensor Networks: Exploiting Latency and Density,” ACM MobiHOC 2002, pp. 135-145.

Snider, Mike. “As seen on TV: Emergency Alerts.” USA Today 9 Jan. 2003.

Tennenhouse, D. “Embedding the Internet: Proactive Computing. Communications of the ACM. Vol. 43, No. 5, pp. 43-50, 2000.

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Wang, I., Jones, S. D. “The Scalability of a Class of Wireless Sensor Networks,” Modeling and Design of Wireless Networks, Proceedings of SPIE, Vol. 4531, 2001, pp. 103-113.

Wang, W., Lu, Y, Bhargava, B. “Intruder identification in Mobile Ad Hoc Networks.” IEEE Conference on Pervasive Computing, Dallas, 2003.

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Wei, Y.; Heidemann, J.; and Estrin, D. “An Energy-Efficient MAC Protocol for Wireless Sensor Networks.” In Proceedings of the 21^st Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2002), New York, NY, USA, June 2002.

Wong, Edward. “Getting on the Internet at 30,000 Feet or So.” The New York Times 15 Jan. 2003: W7+.

Xu, Z. and Zoltowski, M. “Diversity Assisted Channel Estimation and Multiuser Detection for Downlink CDMA with Long Spreading Codes” to Appear in IEEE Transactions on Signal Processing, Special Issue on Signal Processing for Multiple input Multiple Output (MIMO) Wireless Communication Systems, 2003.

Zoltowski, M. and Sjogren, J. “Jam-proof Area Deniable Propagation: Anti-jam Protection for GPS via Robust, Computationally Efficient Space-time Adaptive Processing. Technical Report, Air Force Office of Scientific Research, 2000.

Zoltowski, M. Recent advances in reduced-rank adaptive filtering with applications to high-speed wireless communications. Proceedings of the Conference of the International Society for Optical Engineering, 2001.

http://www.measure.com/sensors/sensor-other.html

http://www.cs.ucla.edu/csd/CENS.html

http://www.ece.northwestern.edu/~pappas/nsf_workshop

http://www.nsf.gov/pubs/2003/nsf03512/nsf03512.htm

http://www.regenstrief.org/investigators/mcdonald.htm

http://www.jrpit.flinders.edu.au/confpapers/CRPITV14Schadow.pdf

http://www.CERIAS.purdue.edu

http://www.cs.purdue.edu/people/Li

Data Analysis and Modeling

1.       Xiuli Ma, Shuangfeng Li, Dongqing Yang, and Shiwei Tang. CL2: A Multi-dimensional Clustering Approach in Sensor Networks. In Proceedings of 1st International Workshop on Conceptual Model-Directed Web Information Integration and Mining (CoMWIM), Shanghai, China, November 8-12, 2004, pp 234-245. 

2.       Xiuli Ma, Dongqing Yang, Shiwei Tang, Qiong Luo, Dehui Zhang, and Shuangfeng Li. Online Mining in Sensor Networks. In Proceedings of the IFIP International Conference on Network and Parallel Computing (NPC), Wuhan, China, October 18-20, 2004. 

3.       Umberto Malesci. A Measurement-based Analysis of the Interaction among MAC, Network and Application Layers in Wireless Sensor Networks. M.Eng. Thesis, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, 2005. 

4.       Radu Sion, Mikhail J. Atallah, and Sunil Prabhakar. Resilient Rights Protection for Sensor Streams. In Proceedings of the 30th International Conference on Very Large Data Bases (VLDB), Toronto, Canada, August 31 - September 3, 2004, pp 732-743. 

5.       Jimeng Sun, Spiros Papadimitriou, and Christos Faloutsos. Online Latent Variable Detection in Sensor Networks. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005, pp 1126-1127. 

6.       Robert Szewczyk, Joseph Polastre, Alan Mainwaring, and David Culler. Lessons From A Sensor Network Expedition. In Proceedings of the 1st European Workshop on Wireless Sensor Networks (EWSN), Berlin, Germany, January 19-21, 2004, pp 307-322. 

7.       Yan Yu, Deborah Estrin, Ramesh Govindan, and Mohammad Rahimi. Using More Realistic Data Models to Evaluate Sensor Network Data Processing Algorithms. In Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks (LCN), Tampa, Florida, USA, November 16-18, 2004, pp 569-570. 

8.       Yan Yu, Deepak Ganesan, Lewis Girod, Deborah Estrin, and Ramesh Govindan. Synthetic Data Generation to Support Irregular Sampling in Sensor Networks. In Proceedings of Geo Sensor Network 2003, Portland, Maine, USA, October 9-11, 2003. 

9.       Jerry Zhao, Ramesh Govindan, and Deborah Estrin. Computing Aggregates for Monitoring Wireless Sensor Networks. In Proceedings of the 1st IEEE International Workshop on Sensor Network Protocols and Applications (SNPA), Anchorage, Alaska, USA, May 11, 2003. 

 

Extract from Wenwei's Collections, Thanks Wayne!

Server-Side Sensor Stream Processing

1.      Amol Deshpande, Suman Nath, Phillip B. Gibbons, and Srinivasan Seshan. Cache-and-Query for Wide Area Sensor Network. In Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, San Diego, California, USA, June 9-12, 2003, pp 503-514. 

2.      Moustafa A. Hammad, Walid G. Aref, and Ahmed K. Elmagarmid. Stream Window Join: Tracking Moving Objects in Sensor-Network Databases. In Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM), Cambridge, Massachusetts, USA, July 9-11, 2003, pp 75-84. 

3.      Samuel Madden and Michael J. Franklin. Fjording the Stream: An Architecture for Queries over Streaming Sensor Data. In Proceedings of the 18th International Conference on Data Engineering (ICDE), San Jose, CA, USA, February 26-March 1, 2002, pp 555-566. 

4.      Radu Sion, Mikhail J. Atallah, and Sunil Prabhakar. Resilient Rights Protection for Sensor Streams. In Proceedings of the 30th International Conference on Very Large Data Bases (VLDB), Toronto, Canada, August 31 - September 3, 2004, pp 732-743. 

5.      Jimeng Sun, Spiros Papadimitriou, and Christos Faloutsos. Online Latent Variable Detection in Sensor Networks. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005, pp 1126-1127. 

 

Extract from Wenwei's Collections, Thanks Wayne!

Data-Centric Storage

1. Ramakrishna Gummadi, Xin Li, Ramesh Govindan, Cyrus Shahabi, and Wei Hong. Energy-efficient Data Organization and Query Processing in Sensor Networks. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005, pp 157-158. 
2. Xin Li, Young Jin Kim, Ramesh Govindan, and Wei Hong. Multi-dimensional Range Queries in Sensor Networks. In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys), Los Angeles, California, USA, November 5-7, 2003, pp 63-75. 

 Extract from Wenwei's Collections, Thanks Wayne!

In-Network Join

1.      Daniel J. Abadi, Samuel Madden, and Wolfgang Lindner. REED: Robust, Efficient Filtering and Event Detection in Sensor Networks. In Proceedings of the 31st International Conference of Very Large Data Bases (VLDB), Trondheim, Norway, August 30 - September 2, 2005. 

2.      Boris Jan Bonfils and Philippe Bonnet. Adaptive and Decentralized Operator Placement for In-Network Query Processing. In Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks (IPSN), Palo Alto, California, USA, April 22-23, 2003, pp 47-62. 

 

TiNA

 

3.      Jonathan Beaver, Mohamed A. Sharaf, Alexandros Labrinidis, and Panos K. Chrysanthis. Power-Aware In-Network Query Processing for Sensor Data. In Proceedings of the 2nd Hellenic Data Management Symposium (HDMS), Athens, Hellas, September 4-5, 2003, pp 1-17. 

4.      Mohamed A. Sharaf, Jonathan Beaver, Alexandros Labrinidis, and Panos K. Chrysanthis. Balancing Energy Efficiency and Quality of Aggregate Data in Sensor Networks. VLDB Journal, Vol. 13, No. 4, December 2004, pp 384-403. 

 Extract from Wenwei's Collections, Thanks Wayne!

SKETCH-Based Aggregation

1. Jeffrey Considine, Feifei Li, George Kollios, and John Byers. Approximate Aggregation Techniques for Sensor Databases. In Proceedings of the 20th International Conference on Data Engineering (ICDE), Boston, Massachusetts, USA, March 30-April 2, 2004, pp 449-460. 
2. Amit Manjhi, Suman Nath, and Phillip B. Gibbons. Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams. In Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, Baltimore, Maryland, USA, June 14-16, 2005. 
3. Suman Nath, Phillip B. Gibbons, Srinivasan Seshan, and Zachary R. Anderson. Synopsis Diffusion for Robust Aggregation in Sensor Networks. In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems (SenSys), Baltimore, India, November 3-4, 2004, pp 250-262. 

Model-Driven Data Acquisition

1. Antonios Deligiannakis, Yannis Kotidis, and Nick Roussopoulos. Compressing Historical Information in Sensor Networks. In Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, Paris, France, June 13-18, 2004, pp 527-538. 
2. Amol Deshpande, Carlos Guestrin, Wei Hong and Samuel Madden. Exploiting Correlated Attributes in Acquisitional Query Processing. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005. 
3. Amol Deshpande, Carlos Guestrin, and Samuel Madden. Model-Driven Data Acquisition in Sensor Networks. In Proceedings of the 30th International Conference on Very Large Data Bases (VLDB), Toronto, Canada, August 31-September 3,2004, pp 588-599. 
4. Amol Deshpande, Carlos Guestrin, and Samuel Madden. Using Probabilistic Models for Data Management in Acquisitional Environments. In Proceedings of the 2nd Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, California, USA, January 5-8, 2005. 
5. Carlos Guestrin, Peter Bodik, Romain Thibaux, Mark Paskin, and Samuel Madden. Distributed Regression: an Efficient Framework for Modeling Sensor Network Data. In Proceedings of the 3rd International Workshop on Information Processing in Sensor Networks (IPSN), Berkeley, California, USA, April 26-27, 2004, pp 1-10. 
6. Yannis Kotidis. Snapshot Queries: Towards Data-Centric Sensor Networks. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005, pp 131-142.
7. Iosif Lazaridis and Sharad Mehrotra. Capturing Sensor-Generated Time Series with Quality Guarantees. In Proceedings of the 19th International Conference on Data Engineering (ICDE), Bangalore, India, March 5-8, 2003, pp 429-440. 
8. Mark A. Paskin and Carlos E. Guestrin. Robust Probabilistic Inference in Distributed Systems. In Proceedings of the 20th International Conference on Uncertainty in Artificial Intelligence (UAI), Banff, Canada, July 7-11, 2004, pp 436-445. 
9. Adam Silberstein, Rebecca Braynard, Carla Ellis, Kamesh Munagala, and Jun Yang. A Sampling-Based Approach to Optimizing Top-k Queries in Sensor Networks. In Proceedings of the 22nd International Conference on Data Engineering (ICDE), Atlanta, Georgia, USA, April 3-7, 2006. 

 Extract from Wenwei's Collections, Thanks Wayne!

SENSORS DATABASE

Reading List on Wireless Sensor Networks  - Sensor Databases - TinyDB

 

1.      Joseph M. Hellerstein, Wei Hong, Samuel Madden, and Kyle Stanek. Beyond Average: Towards Sophisticated Sensing with Queries. In Proceedings of the 2nd International Conference on Information Processing in Sensor Networks (IPSN), Palo Alto, California, USA, April 22-23, 2003, pp 63-79. 

2.      Joseph M. Hellerstein, Samuel Madden, and Wei Hong. The Sensor Spectrum: Technology, Trends, and Requirements. SIGMOD Record, Vol. 32, No. 4, December 2003, pp 22-27.

3.      Samuel Madden. Query Processing for Streaming Sensor Data. PhD Qualifying Exam Proposal, UC Berkeley, May 2002. 

4.      Samuel Madden. The Design and Evaluation of a Query Processing Architecture for Sensor Networks. PhD Thesis, UC Berkeley, Fall 2003.

5.      Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein, and Wei Hong. TAG: a Tiny Aggregation Service for Ad-Hoc Sensor Networks. In Proceedings of the 5th Symposium on Operating System Design and Implementation (OSDI), Boston, Massachusetts, USA, December 9-11, 2002, pp 131-146. 

6.      Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein, and Wei Hong. The Design of an Acquisitional Query Processor for Sensor Networks. In Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, San Diego, California, USA, June 9-12, 2003, pp 491-502. 

7.      Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein, and Wei Hong. TinyDB: an Acquisitional Query Processing System for Sensor Networks. ACM Transactions on Database Systems (TODS), Vol. 30, No. 1, March 2005, pp 122-173.

8.      Sam Madden, Joseph Hellerstein, and Wei Hong. TinyDB: In-Network Query Processing in Tiny OS. Version 0.4, September 2003.

9.      Samuel Madden, Robert Szewczyk, Michael J. Franklin, and David Culler. Supporting Aggregate Queries Over Ad-Hoc Wireless Sensor Networks. In Proceedings of the 4th IEEE Workshop on Mobile Computing and Systems Applications (WMCSA), Callicoon, New York, June 20 - 21, 2002, pp 49-58.

10.  Eugene Shvets. Extending TinyDB: Creating Custom Aggregates. Version 1.0, May 2003. Cougar

11.  Philippe Bonnet, Johannes Gehrke, Tobias Mayr, and Praveen Seshadri. Query Processing in a Device Database System. Technical Report TR99-1775, Cornell University, 1999. 

12.  Philippe Bonnet, Johannes Gehrke, and Praveen Seshadri. Querying the Physical World. IEEE Personal Communications, Special Issue on Smart Spaces and Environments, Vol. 7, No. 5, October 2000, pp 10-15.

13.  Philippe Bonnet, Johannes Gehrke, and Praveen Seshadri. Towards Sensor Database Systems. In Proceedings of the 2nd International Conference on Mobile Data Management (MDM), Hong Kong, China, January 8-10, 2001, pp 3-14 . 

14.  Philippe Bonnet and Praveen Seshadri. Device Database Systems. In Proceedings of the 16th International Conference on Data Engineering (ICDE), San Diego, California, USA, February 28-March 3, 2000, pp 194. 

15.  Yong Yao and Johannes Gehrke. The Cougar Approach to In-Network Query Processing in Sensor Networks. SIGMOD Record, Vol. 31, No. 3, September 2002, pp 9-18.

16.  Yong Yao and Johannes Gehrke. Query Processing for Sensor Networks. In Proceedings of the 1st Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, California, USA, January 5-8, 2003. 

Extract from Wenwei's Collections, Thanks Wayne!