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Investigated the robustness of geographic routing protocols to obstacles and localization errors. PowerPoint PPT Presentation


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Grant Number: 0330178 Institution of PI: University of Southern California PIs: Ramesh Govindan, Scott Shenker, and Brad Karp Title: Robust and Efficient Data Dissemination for Data-Centric Storage.

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Investigated the robustness of geographic routing protocols to obstacles and localization errors.

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Investigated the robustness of geographic routing protocols to obstacles and localization errors

Grant Number: 0330178 Institution of PI: University of Southern CaliforniaPIs: Ramesh Govindan, Scott Shenker, and Brad KarpTitle: Robust and Efficient Data Dissemination for Data-Centric Storage

Our project is investigating scalable and robust routing techniques for wireless sensor networks. These techniques provide the underlying routing infrastructure for a variety of distributed data storage structures, such as hash tables and multi-dimensional index trees.

  • Published the work on routing without location information in ACM Mobicom 2003.

  • Posted a publication describing CLDP to ACM SenSys 2004.

  • Posted a publication describing the Routing using Hierarchical Localization Identifiers to ACM SenSys 2004.

  • Implemented GPSR on the Mica-2 motes.

  • Demonstrated our GPSR implementation, integrated with a data-centric storage scheme called DIM, at ACM SenSys 2003.

  • Investigated the robustness of geographic routing protocols to obstacles and localization errors.

  • Designed a geographic routing protocol that essentially works on arbitrary graphs.

  • Designed and evaluated a practical and scalable routing algorithm for sensor networks that uses location information.

  • Developed a scalable routing protocol for sensor networks that does not rely on location information.

  • Implemented GPSR and demonstrated its integration with a data-centric storage scheme.

Previously, geographical routing suffers both the inaccuracy of the position and break of the unit disk graph assumption in a real radio network. Our work in CLDP makes the geographical routing possible in realistic radio network, such as sensor networks. Altogether, the data-centric storage systems will be possibly deployed in real applications due to our effort in providing scalable, robust and efficient routing in all cases.

Figure: We have developed a new geographic routing protocol that is perfect on arbitrary graphs. Existing routing protocols do not have this property.


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