Thumbnail
Access Restriction
Open

Author Shin, Soo-Young ♦ Park, Soo-Hyun
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Multidisciplinary Digital Publishing Institute
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Philosophy & psychology ♦ Psychology ♦ Social sciences ♦ Economics ♦ Microeconomics & related topics ♦ Technology ♦ Medicine & health ♦ Incidence & prevention of disease ♦ Diseases
Subject Domain (in MeSH) Behavior and Behavior Mechanisms ♦ Psychiatry and Psychology ♦ Health Care Economics and Organizations ♦ Health Care
Subject Keyword Discipline Biotechnology ♦ Communication ♦ Cost-benefit Analysis ♦ Journal Article ♦ Research Support, Non-u.s. Gov't
Abstract In this paper, the Selective Multiple Acknowledgement (SMA) method, based on Multiple Acknowledgement (MA), is proposed to efficiently reduce the amount of data transmission by redesigning the transmission frame structure and taking into consideration underwater transmission characteristics. The method is suited to integrated underwater system models, as the proposed method can handle the same amount of data in a much more compact frame structure without any appreciable loss of reliability. Herein, the performance of the proposed SMA method was analyzed and compared to those of the conventional Automatic Repeat-reQuest (ARQ), Block Acknowledgement (BA), block response, and MA methods. The efficiency of the underwater sensor network, which forms a large cluster and mostly contains uplink data, is expected to be improved by the proposed method.
Description Author Affiliation: Shin SY ( The Graduate School of Business IT, Kookmin University, Jeongneung-ro 77, Seongbuk-gu, Seoul 136-702 Korea. sy-shin@kookmin.ac.kr)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-01-01
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 11
Issue Number 12


Source: WHO-Global Index Medicus