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

13

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?