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PROJECT IDENTIFICATION

PROJECT IDENTIFICATION. TA-3: COMPUTATIONAL BATTLEFIELD NETWORK AND INFORMATON SCIENCES. Information Discovery, Brokerage, and Dissemination in Sensor Networks. Project Personnel. Leonidas Guibas , Faculty PI Project direction and management, algorithm and protocol development

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PROJECT IDENTIFICATION

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  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 • Project direction and management, algorithm and protocol development • BranoKusy, 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 • JieGao, Faculty (Stonybrook) • Algorithms and protocols for information discovery; network morphology extraction; signal landscape analysis

  4. The Project • 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 datathrough 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

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