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RWA : Reduced Whole Ack Mechanism for Underwater Acoustic Sensor Network

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Grid and Pervasive Computing (GPC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7861))

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Abstract

In this paper, we proposed Reduced Whole Acknowledgement (RWA) method which was based on Multiple Acknowledgement (MA) [1] method and proposed by Smart Block Medium Access Control (SBMAC) [2]. The proposed method can reply the information of transmission error states of all Senders within smaller storage space. Especially, the number of transmission and the frame length was minimized to reduce transmission error. The performance of the proposed method and conventional methods such as Normal Multiple Acknowledgement (NMA) and Selective Multiple Acknowledgement (SMA) method [3] was calculated and compared with each other. The calculation results showed the best performance in case of the proposed method .

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References

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Author information

Authors and Affiliations

  1. Graduate School of BIT, Kookmin University, Jeongneung-ro 77, Seongbuk-gu, Seoul, 136-702, Korea

    Soo Young Shin & Soo Hyun Park

Authors
  1. Soo Young Shin
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  2. Soo Hyun Park
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science and Technology (SeoulTech), 139-743, Seoul, Korea

    James J. (Jong Hyuk) Park

  2. Department of Computer Science, University of Georgia, 30602-7404, Athens, GA, USA

    Hamid R. Arabnia

  3. Department of Computer Science and Engineering, Sejong University, 143-747, Seoul, Korea

    Cheonshik Kim

  4. Department of Computer Science, Wayne State University, 48202, Detroit, MI, USA

    Weisong Shi

  5. School of Information Technology Engineering, Catholic University of Daegu, 712-702, Gyeongsan-si, Gyeongbuk, Korea

    Joon-Min Gil

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© 2013 Springer-Verlag Berlin Heidelberg

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Shin, S.Y., Park, S.H. (2013). RWA : Reduced Whole Ack Mechanism for Underwater Acoustic Sensor Network. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_69

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  • DOI: https://doi.org/10.1007/978-3-642-38027-3_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38026-6

  • Online ISBN: 978-3-642-38027-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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