Application Studies

• Environmental Monitoring

  • [Volcano] Deploying a Wireless Sensor Network on an Active Volcano, G. Werner-Allen, K. Lorincz, M. Ruiz, O. Marcillo, J. Johnson, J. Lees, and M. Welsh, IEEE Internet Computing, 2006.

  • [Yosemiti] Meteorology and Hydrology in Yosemite National Park: A Sensor Network Application, J.D. Lundquist, D. R. CAyan, and M. D. Dettinger, IPSN 2003.

  • [ToxinMonitoring] Monitoring a Toxin in a Rural Rice Field with a Wireless Sensor Network, N. Ramanathan, L. Balzano, M. Burt, D. Estrin, E. Kohler, T. Harmon, C. Harvey, J. Jay, S. Rothenberg, and M. Srivastava, CENS Tech Report #62, April 2006.

  • [Firefighting] FireWxNet: A Multi-Tiered Portable Wireless System for Monitoring Weather Conditions in Wildland Fire Environments, C. Hartung, R. Han, C. Seielstad, S. Holbrook, Mobisys 2006.

• Habitat Monitoring

  • [Habitat] Wireless Sensor Networks for Habitat Monitoring, A. Mainwaring, J. Polastre, R. Szewcyk, D. Culler, and J. Anderson, WSNA 2002.

  • [ZebraNet] Energy-Efficient Computing for Wildlife Tracking: Design Tradeoffs and Early Experiences with ZebraNet, P. Juang, H. Oki, and Y. Wang, ASPLOS 2002.

  • [VirtualFences] Dynamic Virtual Fences for Controlling Cows, Z. Butler, P. Corke, R. Peterson, and D. Rus, ISER 2004.

• Medical Care

  • [EmergencyResponse] Sensor Networks for Emergency Response: Challenges and Opportunities, K. Lorincz, D. Malan, T. Fulford-Jones, A. Nawoj, A. Clavel, V. Shnayder, M. Welsh and S. Moulton, IEEE Pervasive Computing, 2004.

  • [ElderCare] Using Pervasive Computing to Deliver Elder Care, Vince Stanford, IEEE Pervasive Computing, 2002.

  • [ElderCare2] Managing Care through the Air, P. E. Ross, IEEE Spectrum 2004.

  • [Wearable] Using Wearable Sensors to Measure Motor Abilities following Stroke, T. Hester, R. Hughes, D. Sherrill, B. Knorr, M. Akay, J. Stein, and P. Bonato, BSN 2006.

  • [AwareHome] The Aware Home: A Living Laboratory for Ubiquitous Computing Research, C. D. Kidd, R. Orr, G. D. Abowd, C. G. Atkeson, I. A. Essa, B. MacIntyre, E. Mynatt, T. E. Starner, and W. Newstetter, TR GVU 01-04.

• Structural Monitoring

  • [Structural] Wireless Sensor Networks for Structural Health Monitoring: A Multi-Scale Approach, T. Kijewski-Correa, M. Haenggi, and P. Antsaklis, 2006 ASCE Structures Congress, 2006.

  • [Wisden] A Wireless Sensor Network for Structural Monitoring, N. Xu, S. Rangwala, K. K. Chintalapudi, D. Ganesan, A. Broad, R. Govindan, and D. Estrin, SenSys 2004.

• Defense Applications

  • [Countersniper] Sensor Network-Based Countersniper System, G. Simon, M. Maroti, A. Ledeczi, G. Balogh, B. Kusy, A. Nadas, G. Pap, J. Sallai, K. Frampton, SenSys 2004.

  • [LineInTheSand] A Line in the Sand: A Wireless Sensor Network for Target Detection, Classification and Tracking, A. Arora et al, Computer Networks 2004.

  • [Landmines] Dynamic Networking and Smart Sensing Enable Next-Generation Landmines, W. M. Merrill, L. Girod, B. Schiffer, D. McIntire, G. Rava, K. Sohrabi, F. Newberg, J. Elson, and W. Kaiser, Pervasive Computing, 2004.

• Wide-area (Large) Sensor Networks

  • [DCAS] Distributed Collaborative Adaptive Sensing (DCAS) for improved Detection, Understanding and Prediction of Atmospheric Hazards, D. J. McLaughlin et al, AMS Symposium 2005.

  • [CASA] Meteorological Command and Control: An End-to-End Architecture for a Hazardous Weather Detection Sensor Network, M. Zink, D. Westbrook, S. Abdallah, B. Horling, V. Lakamraju, E. Lyons, V. Manfredi, J. Kurose and K. Hondl, Mobisys Workshop on End-to-end sense and response systems, 2005.

• Sensor Networks in New Environments

  • [Underwater] Research Challenges and Applications for Underwater Sensor Networking, J. Heidemann, W. Ye, J. Wills, A. Syed and Y. Li, WCNC 2006.

  • [Underground] Wireless underground sensor networks: Research challenges, I. F. Akyildiz, E. P. Stuntebeck, Ad Hoc Networks 2006.

• Miscellaneous

  • [SmartKG] Smart Kindergarten: Sensor-based Wireless Networks for Smart Developmental Problem-solving Environments, M. Srivastava, R. Muntz, and M. Potkonjak, Mobicom 2001.

  • [Workplace] Workplace Applications of Sensor Networks, W. S. Conner, J. Heidemann, L. Krishnamurthy, X. Wang, and M. Yarvis, USC/ISI TR ISI-TR-2004-591.

Low-Power Sensor Platforms

• [TELOS] Telos: Enabling Ultra-Low Power Wireless Research, Joseph Polastre, Robert Szewczyk, and David Culler, IPSN/SPOTS 2005.

• [PROMETHEUS] Perpetually Environmentally Powered Sensor Networks, Xiaofan Jiang, Joseph Polastre, and David Culler, IPSN/SPOTS 2005.

• [Dutta05:SPOTS] Design of a Wireless Sensor Network Platform for Detecting Rare, Random and Ephemeral Events, Prabal Dutta, Mike Grimmer, Anish Arora, Steve Bibyk, and David Culler, IPSN/SPOTS 2005.

• [XYZ] XYZ: A Motion-Enabled, Power Aware Sensor Platform for Distributed Sensor Network Applications, D. Lymberopoulos and A. Savvides, IPSN 2005.

• [eWatch] eWatch: A Wearable Sensor and Notification Platform, U. Maurer, A. Rowe, A. Smailagic, D. P. Siewiorek, BSN 2006.

• [Wakeup] Radio-Triggered Wake-Up Capability for Sensor Networks, L. Gu and J. A. Stankovic, RTSS 2004.

  [Banerjee05:TR22] N. Banerjee, J. Sorber, M. D. Corner, S. Rollins, and D. Ganesan. Triage: A Power-Aware Software Architecture for Tiered Microservers . Technical Report 05-22. University of Massachusetts-Amherst, Amherst, MA. April, 2005.

Energy Harvesting Platforms and Algorithms

• [PC05] Distributed Energy Harvesting for Energy Neutral Sensor Networks, IEEE Pervasive Computing, Vol 4, No. 1, January-March 2005.

• [Jiang05:SPOTS] Perpetual Environmentally Powered Sensor Networks Xiaofan Jiang, Joseph Polastre, David Culler, IPSN/SPOTS 2005.

• [Raghunathan05:SPOTS] , V Raghunathan, A Kansal, J Hsu, J Friedman, and Mani Srivastava, Design Considerations for Solar Energy Harvesting Wireless Embedded Systems, IPSN/SPOTS 2005

• [Kansal:TECS] Performance Management in Energy Harvesting Sensor Networks , A Kansal, J. Hsu, S. Zahedi,and MB Srivastava, ACM TECS, To Appear.

Wireless channel characteristics

• [Ganesan02] Complex Behavior at Scale: An Experimental Study of Low-Power Sensor Networks, D. Ganesan, B. Krishnamachari, A. Woo, D. Culler, D. Estrin, S. Wicker

• [Kotz03] The Mistaken axioms of wireless-network research, D. Kotz, C. Newport, C. Elliott, Dartmouth College Computer Science Technical Report, TR2003-67

• [Zhao03] Understanding Packet Delivery Performance In Dense Wireless Sensor Networks, J. Zhao, R. Govindan,Sensys '03

• [Woo03] Taming the Underlying Challenges of Reliable Multihop Routing in Sensor Networks, A. Woo, T. Tong, D. Culler, ACM Sensys 2003.

• [Cerpa03] SCALE: a tool for Simple Connectivity Assessment in Lossy Environments, A. Cerpa, N. Busek, D. Estrin

• [Zuniga04] Analyzing the Transitional Region in Low Power Wireless Links, M. Zuniga and B Krishnamachari, SECON 2004.

• [Aguayo04] Link-level Measurements from an 802.11b Mesh Network, Daniel Aguayo, John Bicket, Sanjit Biswas, Glenn Judd, Robert Morris, SIGCOMM 2004, Aug 2004

• [Bicket05] Architecture and Evaluation of an Unplanned 802.11b Mesh Network, John Bicket, Daniel Aguayo, Sanjit Biswas, and Robert Morris, Mobicom 2005, Aug 2005.

• [Cerpa05:IPSN] Statistical Model of Lossy Links in Wireless Sensor Networks, A. Cerpa, J. L. Wong, L. Kuang, M. Potkonjak and D. Estrin, IPSN 2005.

• [Cerpa05:Mobihoc] Temporal Properties of Low Power Wireless Links: Modeling and Implications on Multi-Hop Routing, A. Cerpa, J. L. Wong, M Potkonjak and D Estrin, Mobihoc 2005.

• [Polastre05] A Unifying Link Abstraction for Wireless Sensor Networks, J Polastre, J. Hui, P. Levis, J. Zhao, D. Culler, S. Shenker, and I. Stoica, SenSys 2005. (Polastre's Thesis)

• [Son06] Experimental Analysis of Concurrent Packet Transmissions in Low-Power Wireless Networks, D Son, B Krishnamachari, J. Heidemann, Sensys 2006.

Time Synchronization

• [Allan97:Time]HP application note 1289: The Science of Timekeeping, D. W. Allan, N. Ashby, C. C. Hodge

• [Elson02:OSDI] Fine-Grained Network Time Synchronization using Reference Broadcasts, J. Elson, D. Estrin, OSDI 2002

• [Ganeriwal03:Sensys] Timing-sync Protocol for Sensor Networks, S. Ganeriwal, R. Kumar, S. Adlakha, M. Srivastava Sensys'03

• [Maroti04:Sensys] Flooding Time Synchronization Protocol, M. Maroti, Kusy, Simon, Ledeczi, Sensys 2004

• [Ganeriwal05:Sensys] Uncertainty-Driven Duty-Cycling in Sensor Networks, S. Ganeriwal, D. Ganesan, H. Sim, V. Tsiatsis, and Mani B. Srivastava, SenSys 2005.

• [Syed06:Infocom] Time Synchronization for High Latency Acoustic Networks,A. Syed, J. Heidemann,Infocom 2006.

• [Karp05] Global Synchronization in Sensornets, R. M. Karp, J. Elson, C. H. Papadimitriou, and S. Shenker.

Localization

• [Savvides04:Kluwer] Localization in Sensor Networks, A. Savvides, L. Girod, M. Srivastava, and D. Estrin, Book Chapter, Wireless Sensor Networks, Edited by Znati, Radhavendra and Sivalingam. This is a good overview of localization techniques in sensor networks

• [Savvides01:Mobicom] Dynamic Fine Grained Localization in Ad-Hoc Sensor Networks, A. Savvides, C.C. Han, and M.B. Srivastava, Mobicom 2001,

• [Savvides04:TOMC] An Analysis of Error Inducing Parameters in Multihop Sensor Node Localization, A. Savvides, W, Garber, R. L. Moses and M. B. Srivastava, IEEE Transcations on Mobile Computing

• [Savvides02:WSNA] The Bits and Flops of the N-hop Multilateration Primitive For Node Localization Problems, A. Savvides, H. Park, and M.B. Srivastava, WSNA 2002

• [Moore04:SenSys] Robust distributed network localization with noisy range measurements., D. Moore, J. Leonard, D. Rus, S. Teller, SenSys 2004.

• [Girod06:SenSys] The Design and Implementation of a Self-calibrating Acoustic Sensing Platform, L. Girod, M. Lukac, V. Trifa, and D. Estrin, SenSys 2006.

• [Priyantha05:Thesis] The Cricket Indoor Location System PhD Thesis, Nissanka Bodhi Priyantha, Massachusetts Institute of Technology, June 2005

• [Maroti05:Sensys] Radio Interferometric Geolocation, Maroti M., Kusy B., Balogh G., Volgyesi P., Molnar, K., Nadas A., Dora S., Ledeczi A, SenSys 2005.

• [Elnahrawy06:SECON] The Limits of Localization Using Signal Strength: A Comparative Study, Eiman Elnahrawy, Xiaoyan Li, and Richard P. Martin, SECON 2004.

• [Madigan06:Infocom] Bayesian Indoor Positioning Systems, David Madigan, Eiman Elnahrawy, Richard P. Martin, Wen-Hua Ju, P. Krishnan, and A. S. Krishnakumar, IEEE Infocom 2005.

• [Gezici06:SPMag] Localization via Ultra-Wideband Radios: A Look at Positioning Aspects for Future Sensor Networks, Gezici, S.; Tian, Z.; Giannakis, G.V.; Kobaysahi, H.; Molisch, A.F.; Poor, H.V.; Sahinoglu, Z., IEEE Signal Processing Magazine, 2005.

Medium Access Control

• [Wei04:TON] Medium Access Control with Co-ordinated Adaptive Sleeping for Wireless Sensor Networks, W. Ye, J. Heidemann, D. Estrin, IEEE/ACM Transactions on Networking, 2004.

• [MACAW] MACAW: A Media Access Protocol for Wireless LANs., Bharghavan, Demers, Shenker,Zhang

• [Polastre04:Sensys] Versatile Low Power Media Access for Wireless Sensor Networks, Joseph Polastre, Jason Hill, David Culler, ACM Sensys 2004

• [TMAC] An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks, Tijs van Dam,Koen Langendoen, Sensys 2003

• [Ganeriwal05:Sensys] Uncertainty-Driven Duty-Cycling in Sensor Networks, Saurabh Ganeriwal, Deepak Ganesan, Hohyun Sim, Vlassios Tsiatsis, and Mani B. Srivastava

• [Buettner06:SenSys] Buettner, G. Yee, E. Anderson, R. Han, X-MAC: A Short Preamble MAC Protocol for Duty-Cycled Wireless Sensor Networks, The 4th ACM Conference on Embedded Sensor Systems (SenSys), 2006.

• [Ee06:OSDI] A Modular Network Layer for Sensornets, Cheng Tien Ee, Rodrigo Fonseca, Sukun Kim, Daekyeong Moon, and Arsalan Tavakoli, David Culler, Scott Shenker, Ion Stoica, OSDI 2006

Data Storage and Search

• [Mathur06:SPOTS] Ultra-Low Power Data Storage for Sensor Networks, G. Mathur, P. Desnoyers, D. Ganesan and P. Shenoy, IPSN 2006.

• [Mathur06:SenSys] CAPSULE: An Energy-Optimized Object Storage System for Memory-Constrained Sensor Devices, G. Mathur, P. Desnoyers, D. Ganesan and P. Shenoy, SenSys 2006.

• [Li06:NSDI] PRESTO: Feedback-Driven Data Management in Sensor Networks, M. Li, D. Ganesan and P. Shenoy, NSDI 2006.

• [Desnoyers05:HotOS] PRESTO: A Predictive Storage Architecture for Sensor Networks, Peter Desnoyers, Deepak Ganesan, Huan Li, Ming Li and Prashant Shenoy, HotOS X, 2005.

• [Desnoyers05:Sensys] TSAR: A Two Tier Storage Architecture Using Interval Skip Graphs, P. Desnoyers, D. Ganesan and P Shenoy, SenSys 2005

• [Ganesan03] Multi-resolution Storage in Sensor Networks, Sensys 2003

• [Ratnasamy02] Data-centric storage in Sensornets, Sylvia Ratnasamy, Deborah Estrin, Ramesh Govindan, Brad Karp, Scott Shenker, Li Yin, Fang Yu. Hotnets 2002.

• [Bonnet00] Querying the Physical World, Philippe Bonnet, J. E. Gehrke, and Praveen Seshadri, IEEE Personal Communications, Vol. 7, No. 5, October 2000, pages 10-15. Special Issue on Smart Spaces and Environments

Query Processing

• [Intanago00] Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks, Chalermek Intanagonwiwat, Ramesh Govindan and Deborah Estrin, In Mobicom 2000

• [Heidemann01] Building Efficient Wireless Sensor Networks with Low-Level Naming, J. Heidemann, F. Silva, C. Intanagonwiwat, R. Govindan, D. Estrin, and D. Ganesan, SOSP 2001

• [Madden05:TODS] TinyDB: An Acqusitional Query Processing System for Sensor Networks, S. Madden, M. Franklin, J. Hellerstein, and W. Hong. ACM TODS.

• [Hellerstein03] Beyond Average: Toward Sophisticated Sensing with Queries, J. Hellerstein, W. Hong, S. Madden, K. Stanek, IPSN 2003

• [Deshpande05:VLDBJ] Model-based Approximate Querying in Sensor Networks, A. Deshpande, C. Guestrin, S. Madden, J. M. Hellerstein, W. Hong, VLDB Journal, 2005

• [Deshpande06:SIGMOD] MauveDB: Supporting Model-based User Views in Database Systems; Amol Deshpande, Sam Madden; SIGMOD 2006

• Contour Map Matching for Event Detection in Sensor Networks Wenwei Xue (HKUST), Qiong Luo (HKUST), Lei Chen (HKUST), Yunhao Liu (HKUST), SIGMOD 2006

• Constraint Chaining: On Energy-Efficient Continuous Monitoring in Sensor Networks Adam Silberstein (Duke University), Rebecca Braynard (Duke University), Jun Yang (Duke University), SIGMOD 2006

• Energy-Efficient Monitoring of Extreme Values in Sensor Networks Adam Silberstein (Duke University), Kamesh Munagala (Duke University), Jun Yang (Duke University), SIGMOD 2006

• ICEDB: Intermittently Connected Continuous Query Processing, Yang Zhang, Bret Hull, Hari Balakrishnan, Samuel Madden, ICDE, 2007

• REED: Robust, Efficient Filtering and Event Detection in Sensor Networks,Daniel Abadi, Samuel Madden, Wolfgang Lindner. In Proceedings of VLDB, 2005.

• Query Processing in Sensor Networks, Samuel Madden and Johannes Gehrke, IEEE Pervasive Computing, March 2004

Coverage and Placement

• [Span] Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks, B. Chen,K. Jamieson, H. Balakrishnan, R. Morris, Mobicom 2001.

• [Ascent] ASCENT: Adaptive Self-Configuring Sensor Networks Topologies, A. Cerpa, D. Estrin, INFOCOM 2002

• [WoW]Wake on Wireless: An Event-Driven Power Saving Strategy for Battery Operated Devices, E. Shih, MIT

• [Ganesan04] Power-Efficient Sensor Placement and Transmission Structure for Data Gathering under Distortion Constraints, D. Ganesan, R. Cristescu and B. Berefull-Lozano

• [Krishnamachari02] Critical Density Thresholds in Distributed Wireless Networks, B. Krishnamachari, S. Wicker, R. Bejar, and R. Pearlman,book chapter in Communications,Informationand Network Security, December 2002.

• [Wang03] Integrated Coverage and Connectivity Configuration in Wireless Sensor Networks, Wang, Xing, Zhang, Lu, Pless, and Gill, SenSys 2003.

Programming Tools and Language Support

• [Gay03] The nesC Language: A Holistic Approach to Network Embedded Systems, David Gay, Philip Levis, Robert von Behren, Matt Welsh, Eric Brewer, and David Culler, PLDI 2003.

• [Levis04] The Emergence of Networking Abstractions and Techniques in TinyOS, Philip Levis, Sam Madden, David Gay, Joe Polastre, Robert Szewczyk, Alec Woo, Eric Brewer and David Culler, NSDI 2004.

• [Levis03] TOSSIM: Accurate and Scalable Simulation of Entire TinyOS Applications, Philip Levis, Nelson Lee, Matt Welsh, and David Culler, SenSys 2003.

• [Emstar-Sensys04] A System for Simulation, Emulation, and Deployment of Heterogenous Sensor Networks, Girod, T. Stathopoulos, N. Ramanathan, J. Elson, D. Estrin, E. Osterweil, and T. Schoellhammer, SenSys 2004

• [Emstar-USENIX04] EmStar: a Software Environment for Developing and Deploying Wireless Sensor Networks, L. Girod, J. Elson, A. Cerpa, T. Stathopoulos, N. Ramanathan, D. Estrin, USENIX 04.

• [TossimManual] TOSSIM Manual, Phil Levis

Detection and Tracking

• [Sayeed02] Detection, Classification and Tracking of Targets in Distributed Sensor Networks", Dan Li, Kerry Wong, Yu Hen Hu, Akbar Sayeed. IEEE Signal Processing Magazine, Volume: 19 Issue: 2, Mar 2002

• [Brooks03] Distributed Target Classification and Tracking in Sensor Networks,R. Brooks, P. Ramanathan and A. Sayeed, Proc. IEEE, pp. 1163-1171, August 2003

• [FZhao03] Collaborative Signal and Information Processing: An Information Directed Approach, F. Zhao, J. Liu, J. Liu, L. Guibas, and J. Reich, Proceedings of the IEEE, 91(8):1199-1209, 2003.

• [Simon04] Sensor Network-Based Countersniper System, Gyula Simon, Akos Ledeczi, Miklos Maroti, Sensys 2004

Distributed Compression

• [Pradhan02] Distributed Compression in a Dense Sensor Network, S. Sandeep Pradhan, Julius Kusuma, Kannan Ramchandran IEEE Signal Processing Magazine, March, 2002

• [Nowak03] Boundary Estimation in Sensor Networks: Theory and Practice, R. Nowak, U. Mitra, IPSN 2003, http://128.104.180.14/~nowak/IPSN.pdf115.

• [Guibas02] Sensing, Tracking and Reasoning with Relations, Leonidas Guibas, IEEE Signal Processing Magazine, Volume: 19 Issue: 2, Mar 2002.

Underwater Sensor Networks

• [AcousticModem] Low-Power Acoustic Model for Dense Underwater Sensor Networks, J. Wills, W. Ye, and J. Heidemann, WUWNet 2006.

• [AcousticModem2] Software Acoustic Modems for Short Range Mote-based Underwater Sensor Networks, R. Jurdak, C. V. Lopes, P. Baldi, OCEANS 2006.

Unclassified

• Virtual High Resolution for Sensor Networks, SenSys 2006.