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DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 13, 2010, Grand Copthorne Waterfront Hotel, Singapore
Future Directions in Sensor Data Management: A Panel
DiscussionDemetris Zeinalipour
University of Cyprus
Sponsored by :
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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)
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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 1st SenSys Conference– 2004: First DMSN workshop in Toronto
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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”
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 13, 2010, Grand Copthorne Waterfront Hotel, Singapore
Important Research Areas of DMSN(based on citations since 2004)
Total Citations since 2004: 778
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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.)
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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)
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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 2007.
Micro Air Vehicles (UAV – Unmanned Aerial Vehicles) Ground Station
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DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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.
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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 85-98. ACM, (Best Paper) MIT’s CarTel Group
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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
DMSN’10 - 7th International Workshop on Data Management for Sensor NetworksSeptember 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?