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Reliable geocasting for underwater acoustic sensor networks

Published:30 September 2010Publication History

ABSTRACT

UnderWater Acoustic Sensor Networks (UW-ASNs) [1] are envisioned to enable applications for oceanographic data collection, environmental monitoring, navigation, and tactical surveillance. Geocasting, which is the transmission of packet(s) to nodes located in a certain geographic region, is becoming a crucial communication primitive for these applications. In UW-ASNs, geocasting may be required to assign tasks to underwater vehicles or to query sensor nodes in a certain region.

References

  1. }}I. F. Akyildiz, D. Pompili, and T. Melodia. Underwater Acoustic Sensor Networks: Research Challenges. Ad Hoc Networks (Elsevier), 3(3):257--279, May 2005.Google ScholarGoogle ScholarCross RefCross Ref
  2. }}J. Lian, K. Naik, Y. Liu, and L. Chen. Virtual Surrounding Face Geocasting with Guaranteed Message Delivery for Ad Hoc and Sensor Networks. IEEE/ACM Transactions on Networking, 17(1):200--211, Feb. 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. }}J. Sanchez, P. Ruiz, J. Liu, and I. Stojmenovic. Bandwidth-Efficient Geographic Multicast Routing Protocol for Wireless Sensor Networks. IEEE Sensors Journal, 7(5):627--636, May 2007.Google ScholarGoogle ScholarCross RefCross Ref
  4. }}Y. Ko and N. Vaidya. Geocasting in Mobile Ad Hoc Networks: Location-Based Multicast Algorithms. In Proc. of IEEE Workshop on Mobile Computer Systems and Applications, New Orleans, LA, Feb. 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Conferences
          WUWNet '10: Proceedings of the 5th International Workshop on Underwater Networks
          September 2010
          105 pages
          ISBN:9781450304023
          DOI:10.1145/1868812

          Copyright © 2010 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 30 September 2010

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          Overall Acceptance Rate84of180submissions,47%

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