Real-Time Multiprocessor Scheduling p g Anthony Rowe, Karthik - - PowerPoint PPT Presentation

SAMPL: A Simple Aggregation and Message SAMPL: A Simple Aggregation and Message Passing Layer for Sensor Networks

Real-Time Multiprocessor Scheduling p g

Anthony Rowe, Karthik Lakshmanan, Prof. Raj Rajkumar Real-time and Multimedia Systems Laboratory Real time and Multimedia Systems Laboratory Carnegie Mellon University, Pittsburgh

Sensor Andrew

Goal: Make Carnegie Mellon the most sensed campus g p

Current Deployment Statistics

Key (Number of Sensors per Node Type) Key (Number of Sensors per Node Type) = 1 = 2 = 3 Current Status: 1500 Sensor Points deployed across campus (over 7 months) p y p ( )

Infrastructure Monitoring

BACnet

Health monitoring and maintenance for buildings on campus g g p

“Green” - House

Total Household Energy Consumption in the US: 10.6 Quadrillion BTUs gy p Q

Solar House

Hobo Sensors

Outfitting the on-campus solar challenge test-bed with Wireless HVAC g p g

Access Management

Intelligent “ID” cards for access to buildings on campus g g p

Localization Services

Where to get “fresh” Pizza? Where is the nearest Rest-Room? Which conference room is free? Is this Coffee fresh? Localization services for both Humans and Robots Is this Coffee fresh? OMG!!! Can’t find class room!!!

Hardware Infrastructure

D Cell Node AA Cell Node Gateway Node Development Node

Sensor Andrew also provide infrastructure support for other technologies p pp g

“Big” - Picture

Ethernet

Campus N t k

802.11 Ethernet Ethernet / 802.11

Server

Network

End-User Gateway Gateway IP Camera PC

Sensor Node Sensor Node RS-232 RS-232

Agents End-User RFID RX

Node Node Mobile Node S 802.15.4 * Protocols listed are examples Sensor Card Bluetoo th p

Sensor Andrew provides a complete infrastructure for ubiquitous sensing/control

“SAMPL” - Picture

Gateway acts as a bridge to the Internet and uses an XMPP infrastructure

“SAMPL” - How?

Flash Configuration Data Report

Flashing re-establishes paths. Level-delayed data report enables aggregation

Why – “SAMPL”?

Energy Efficient: Configurable sleep duration Aggregation Aggregation Mobility Support Wait for next Flood Robustness Robustness

• Paths re-establish with each Configuration Flash
• Weak paths are removed during each Flash

Configurability

Adaptability & Budgeting: Mandatory for long-term sustainable sensor networks Adaptability & Budgeting: Mandatory for long-term sustainable sensor networks

Visibility

Accurate Accounting – Enables lifetime prediction and maintenance schedules Accurate Accounting – Enables lifetime prediction and maintenance schedules

Deploy

Deployment issues – Practical problem of ensuring wireless coverage p y p g g

Debug

Run-time Visibility - key aide in a successfully developing Sensor Andrew y y y p g

Monitor Health

Correlated packet loss helps identify the bottlenecks in the network p p y

Diagnose

Find the weakest links of the chain

Re-enforce

Fortify the network by “strategically” adding nodes y y g y g

Evaluate

Before Re-Enforcement After Re-Enforcement

12% improvement from an average packet delivery rate of 82% to 94% p g p y

Conclusions

Key features of SAMPL Configurability, Visibility, Mobility support and Energy efficiency Flexibility to support a diverse-set of applications Civil-engineering research, Robotics applications, Mobility studies Large-scale and Long-term deployment

1500 i i t d l d th d ti

1500 sensing points deployed over a seven month duration Efficient techniques to ensure coverage Mature infrastructure for diagnostics and debugging Mature infrastructure for diagnostics and debugging SAMPL provides infrastructure support for Sensor Andrew

Demo

For more details: For more details:

http://www.nanork.org

htt // d d

http://sensor.andrew.cmu.edu

Questions:

agr@andrew.cmu.edu klakshma@andrew.cmu.edu raj@ece.cmu.edu