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DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Future Directions.

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Presentation on theme: "DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Future Directions."— Presentation transcript:

1 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Future Directions in Sensor Data Management: A Panel Discussion Demetris Zeinalipour University of Cyprus Sponsored by :

2 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Panel Objective To provide views on the following: – To what extend the vision of applying data management techniques to sensor network research has been successful over the years e.g., Adoption of ideas proposed by the community – To examine the significance of recent advances and to identify new directions that can foster research in sensor data management

3 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore DMSN’10 Panelists… Yanlei Diao (Univ. of Massachusetts Amherst, USA) DMSN’08 PC Chair Christian S. Jensen (Aarhus University, Denmark) DMSN’08 PC Chair Kian-Lee Tan (National University of Singapore, Singapore) Le Gruenwald (National Science Foundation, USA)

4 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Wireless Sensor Networks We will soon celebrate 10 years of research and developments in the area of sensor networks. – 1999: Kristofer Pister (UCB) introduces the Smartdust vision “a hypothetical wireless network of tiny microelectromechanical sensors (MEMS), robots, or devices, that can detect (for example) light, temperature, or vibration.” wikipedia.org – 2000: First release of TinyOS for Rene – Crossbow partners – 2001: Berkeley develops MICA – 2002: TinyOS in nesC is released – 2003: TinyDB launch and 1 st SenSys Conference – 2004: First DMSN workshop in Toronto

5 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Research Emphasis of DMSN (based on titles since 2004) – Query Processing – Frameworks – Monitoring – Energy-efficiency – Models – Systems – Applications – Storage – …. High Low DMSN Aim: “All important aspects of sensor data management, including data acquisition, processing, and storage in remote wireless networks”

6 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Word Cloud of DMSN Titles since 2004 Word cloud generated with worldle.net

7 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Important Research Areas of DMSN (based on citations since 2004) Total Citations since 2004: 778

8 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Most Cited Papers ( ) 1.[2004, 176 citations] “Region streams: functional macroprogramming for sensor networks”, Ryan Newton, Matt Welsh 2.[2004, 66 citations] “Adaptive sampling for sensor networks”, Ankur Jain, Edward Y. Chang 3.[2004, 60 citations] “WaveScheduling: energy-efficient data dissemination for sensor networks”, Niki Trigoni, Yong Yao, Alan J. Demers, Johannes Gehrke, Rajmohan Rajaraman: 4.[2005, 37 citations] “The threshold join algorithm for top-k queries in distributed sensor networks”, Demetrios Zeinalipour-Yazti, Zografoula Vagena, Dimitrios Gunopulos, Vana Kalogeraki, Vassilis J. Tsotras, Michail Vlachos, Nick Koudas, Divesh Srivastava 5.[2004, 36 citations] “Approximately uniform random sampling in sensor networks”, Boulat A. Bash, John W. Byers, Jeffrey Considine

9 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Most Cited Papers [2004, 29 citations]“Confidence-based data management for personal area sensor networks”, Nesime Tatbul, Mark Buller, Reed Hoyt, Steve Mullen, Stanley B. Zdonik 7.[2004, 29 citations] “A framework for spatio-temporal query processing over wireless sensor networks”, Alexandru Coman, Mario A. Nascimento, Jörg Sander 8.[2004, 28 citations] “StreamGlobe: adaptive query processing and optimization in streaming P2P environments”, Bernhard Stegmaier, Richard Kuntschke, Alfons Kemper 9.[2004, 28 citations] “Active rules for sensor databases”, Michael Zoumboulakis, George Roussos, Alexandra Poulovassilis 10.[2004, 24 citations] “A framework for extending the synergy between MAC layer and query optimization in sensor networks”, Vladimir Zadorozhny, Panos K. Chrysanthis, Prashant Krishnamurthy

10 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Most Cited Papers [2005, 23 citations] “Zone sharing: a hot-spots decomposition scheme for data-centric storage in sensor networks”, Mohamed Aly, Nicholas Morsillo, Panos K. Chrysanthis, Kirk Pruhs 7.[2005, 21 citations] “Quantifying eavesdropping vulnerability in sensor networks”, Madhukar Anand, Zachary G. Ives, Insup Lee 8.[2006, 20 citations] “Transactional issues in sensor data management”, Levent Gürgen, Claudia Roncancio, Cyril Labbé, Vincent Olive 9.[2004, 17 citations] “Predictive filtering: a learning-based approach to data stream filtering”, Vibhore Kumar, Brian F. Cooper, Shamkant B. Navathe 10.[2004, 16 citations] “Optimization of in-network data reduction”, Joseph M. Hellerstein, Wei Wang

11 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore What is the current state? In recent years, we have been witnessing a paradigm shift from the initial target of Sensor Networks that focused on “Low Power Embedded Sensing devices” and “Environmental Monitoring Applications” Nowadays Sensor Devices are packed with more hardware (e.g., i-Mote2) and software capabilities (e.g., running Linux) Additionally, even traditional applications are much more diverse (e.g., using camera boards for urban monitoring, etc.)

12 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore 12 What is a Sensor Network today? A Network of Mobile Sensors? Artifacts created by the distributed robotics and low power embedded systems areas. Characteristics Small-sized, wireless-capable, energy-sensitive, as their stationary counterparts. Feature explicit (e.g., motor) or implicit (sea/air current) mechanisms that enable movement. CotsBots (UC-Berkeley) MilliBots (CMU) LittleHelis (USC) SensorFlock (U of Colorado Boulder)

13 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore What is a Sensor Network today? Example: Chemical Dispersion Sampling Identify the existence of toxic plumes. Graphic courtesy of: J. Allred et al. "SensorFlock: An Airborne Wireless Sensor Network of Micro-Air Vehicles", In ACM SenSys Micro Air Vehicles (UAV – Unmanned Aerial Vehicles) Ground Station 13

14 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore What is a Sensor Network today? A Network of Smartphones? – Sensor: Proximity Sensor (turn off display when getting close to ear) Ambient Light Detector (brighten display when in sunlight) Accelerometer (identify rotation and digital compass) Camera, Microphone, Geo-location on GPS, WIFI, Cellular Towers,… – Network: Bluetooth: Peer-to-Peer applications / services WLAN, WCDMA/UMTS(3G) / HSPA(3.5G): broadband access. – Actuators: Notification Light, Speaker.

15 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore 15 Sensys’09 Best Paper Intelligent Transportation Systems with VTrack Better manage traffic by estimating roads taken by users using WiFi beams (instead of GPS). Graphics courtesy of: A.Thiagarajan et. al. “Vtrack: Accurate, Energy-Aware Road Traffic Delay Estimation using Mobile Phones, In Sensys’09, pages ACM, (Best Paper) MIT’s CarTel Group

16 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore 16 Another Example from SenSys BikeNet: Mobile Sensing for Cyclists. Real-time Social Networking of the cycling community (e.g., find routes with low CO2 levels) Left Graphic courtesy of: S. B. Eisenman et. al., "The BikeNet Mobile Sensing System for Cyclist Experience Mapping", In Sensys'07 (Dartmouth’s MetroSense Group)

17 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Complementary Technologies? Several complementary research fields in the area of data management seek to solve problems similar to those addressed by the DMSN community e.g., 1.Stream Processors i.e., for processing real-time data flows. 2.Cloud Data Analytic Frameworks e.g., Map-reduce for analyzing massive data. 3.Semantic Web Technologies e.g., Sensorweb for structuring Internet-scale sensor data repositories

18 DMSN’10 - 7th International Workshop on Data Management for Sensor Networks September 13, 2010, Grand Copthorne Waterfront Hotel, Singapore Complementary Technologies? Several complementary research fields in the area of data management seek to solve problems similar to those addressed by the DMSN community e.g., 1.Stream Processors i.e., for processing real-time data flows. 2.Cloud Data Analytic Frameworks e.g., Map-reduce for analyzing massive data. 3.Semantic Web Technologies e.g., Sensorweb for structuring Internet-scale sensor data repositories Future Directions for Sensor Data Management?


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