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      A Query Result Merging Scheme for Providing Energy Efficiency in Underwater Sensor Networks

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          Abstract

          Underwater sensor networks are emerging as a promising distributed data management system for various applications in underwater environments, despite their limited accessibility and restricted energy capacity. With the aid of recent developments in ubiquitous data computing, an increasing number of users are expected to overcome low accessibility by applying queries to underwater sensor networks. However, when multiple users send queries to an underwater sensor network in a disorganized manner, it may incur lethal energy waste and problematic network traffic. The current query management mechanisms cannot effectively deal with this matter due to their limited applicability and unrealistic assumptions. In this paper, a novel query management scheme involving query result merging is proposed for underwater sensor networks. The mechanism is based on a relational database model and is adjusted to the practical restrictions affecting underwater communication environments. Network simulations will prove that the scheme becomes more efficient with a greater number of queries and a smaller period range.

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          TinyDB: an acquisitional query processing system for sensor networks

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            The design space of wireless sensor networks

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel, Switzerland)
                Molecular Diversity Preservation International (MDPI)
                1424-8220
                2011
                20 December 2011
                : 11
                : 12
                : 11833-11855
                Affiliations
                [1 ] Korean Minjok Leadership Academy, 1300, Sosa-ri, Anheung-myeon, Hoengseong-gun, Gangwon-do, 225-823, Korea; E-Mail: jkkim008@ 123456hanmail.net
                [2 ] The Graduate School of Business IT, Kookmin University, 861-1, Jeongneung-dong Sungbuk-gu, Seoul, 136-702, Korea
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: shpark21@ 123456kookmin.ac.kr ; Tel.: +82-2-910-4559; Fax: +82-2-910-4519.
                Article
                sensors-11-11833
                10.3390/s111211833
                3252012
                22247695
                0d8d4ed2-6cfa-4cd9-a2f0-02a23b5a1741
                © 2011 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 26 November 2011
                : 7 December 2011
                : 15 December 2011
                Categories
                Article

                Biomedical engineering
                conditional query,query result merging,periodic query,underwater sensor network,query management,relational sensor network database

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