1. PROJECT IDENTIFICATION
TA-3: COMPUTATIONAL BATTLEFIELD NETWORK AND INFORMATON SCIENCES
Information Discovery, Brokerage, and Dissemination in Sensor Networks

2. Project Personnel Leonidas Guibas, Faculty PI Brano Kusy, Postdoc
Project direction and management, algorithm and protocol development
Brano Kusy, Postdoc
Sensor node hardware specification and procurement; low-level software development
Nikola Milosavljevic, Graduate Student
High-level information dissemination, discovery, and matching algorithms
HyungJune Lee, Graduate Student
Simulator specification and development; low-latency techniques [has own funding for now]

3. Collaborators Phil Levis, Faculty (Stanford)
Sensor network communications; wireless link modeling; low-level system software
Jie Gao, Faculty (Stonybrook)
Algorithms and protocols for information discovery; network morphology extraction; signal landscape analysis

4. The Project Goal: Low-latency, highly-specific
A sensor network is deployed to provide situational awareness
Users are embedded and operate in the same space as the network
Both event capture by the network and the users’ need for information arise in a distributed fashion
Users also act as sensors and provide both information as well as data interpretation to the network
Goal: Low-latency, highly-specific
sensor network information
delivery to mobile users

5. Project Research Objectives
Enable distance-sensitive, low-latency, high-specificity data/information delivery to mobile users from a sensor network
Demonstrate lightweight, distributed, and highly relevant information brokerage
Allow social-network style user collaboration on interpreting sensor data through the same network
Optimize and tune the network through off-line HPC computing at servers on the edge of the sensor network

6. 2007 Accomplishments and Goals
Assemble the team get the project started
Explore available wireless node hardware options
Explore operating system and programming language options
Explore available sensors, drivers, etc.
Decide on node types and order hardware
Formulate basic information brokerage architecture and scenarios
Design and begin implementation of a simulator
Explore basic algorithmic tradeoffs in information storage vs. ease of access
Done
Partially
Not yet

7. Possible Node Hardware
Crossbow Imote2: main workhorse node
Crossbow Stargate2: clusterhead and network interface
Nokia N800 tablet: user held device

8. Network Architecture
Zigbee
A two tier system

9. Possible Capability Demostrations
Collaborative event detection
Signal data filtering at the clusterhead level
Signal data (e.g., image) annotation via labels or tags by a mobile user, as he/she goes by a data holding node
Label-based matching between user interests and available data at clusterheads
Data retrieval via such annotation tags
Low-latency data delivery
Collaborative filtering and pro-active data pushing to a user

10. 2008 Goals Complete a stable and scalable simulator
Implement and demonstrate a small test-bed with real nodes
Develop and test low-latency information delivery techniques (routing, load balance); static and mobile destinations
Design and simulate basic information brokerage mechanisms; explore this space
Design the architecture of a “data annotation and recommendation’ system for mobile users