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NOSS PI Meeting, October 18, 2004 Data-Centric Active Querying in Sensor Networks: The ACQUIRE Project Bhaskar Krishnamachari Co-PI: Ahmed Helmy Department.

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Presentation on theme: "NOSS PI Meeting, October 18, 2004 Data-Centric Active Querying in Sensor Networks: The ACQUIRE Project Bhaskar Krishnamachari Co-PI: Ahmed Helmy Department."— Presentation transcript:

1 NOSS PI Meeting, October 18, 2004 Data-Centric Active Querying in Sensor Networks: The ACQUIRE Project Bhaskar Krishnamachari Co-PI: Ahmed Helmy Department of Electrical Engineering-Systems USC Viterbi School of Engineering bkrishna@usc.edu, helmy@usc.edu Autonomous Networks Research Group http://ceng.usc.edu/~anrg/

2 Motivation Querying is a fundamental operation in wireless sensor networks (WSN) Project Goal: develop techniques for query resolution and efficient information discovery in WSN

3 Active Querying Basic Idea: query entities which move efficiently through the network actively “hunting” for the desired information. Research Issues: –Framework and algorithms –query guidance –performance analysis and parameter optimization –adaptation and multi-threading –validation and testing

4 Preliminary Work: ACQUIRE An active query forwarding mechanism that provides a look-ahead parameter d to tune between the extremes of flooding and trajectory-based querying. Caching is allowed at the intermediate steps. trajectory flood Sadagopan, Krishnamachari, Helmy, “Active Query Forwarding in sensor networks,” IEEE SNPA Workshop 2003. Data Dynamics Parameter

5 Preliminary Work: RUGGED Technique for routing based on fingerprint gradients in sensor networks, i.e. using information about spatial pattern of physical phenomena. Single and multi-path probabilistic forwarding Faruque, Helmy, “RUGGED: RoUting on finGerprint Gradients in sEnsor Networks,” IEEE ICPS 2004.

6 NOSS PI Meeting, October 18, 2004 Expected Contributions Development of network primitives for active querying that can serve as “building blocks” for a wide range of applications Insights into performance and design tradeoffs through a combination of mathematical analysis, simulation and experiments


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