Efficient techniques for data aggregation in underwater sensor networks
Joint Authors
Khan, Gulista
Gola, Kamal KR.
Dhingra, Manish
Source
Issue
Vol. 16, Issue 1 (31 Mar. 2020), pp.90-104, 15 p.
Publisher
Publication Date
2020-03-31
Country of Publication
Algeria
No. of Pages
15
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
One of the vast application of WSN (Wireless Sensor Network) technology is UWSN (Under Water Sensor Networks).
More than 70% of earth is covered with water.
So UWSN is used in detect underwater environment.
In past few decades a variety of protocols have been designed for operative and qualitative research analysis.
Protocols includes routing, localization, and node-deployment and clone detection.
As in routing data must be travel from source to sink node with minimum energy consumption and lesser propagation delay.
For this purpose aggregation of data is one of the protocol that is extensively used along with underwater sensor networks to attain improved results.
In past large number of aggregation techniques has been proposed.
Aggregation techniques can be categorized in cluster based, in which clusters are formed and cluster head will be responsible for all data aggregation, non-cluster based, and approached using some supplementary techniques for aggregation.
This paper is presented comparative survey on various aggregation techniques.
Based on survey some future challenges have been identified, on the bases of that researchers can build interest to work on same issue.
Performance of all three types of algorithms have been tabulated and shown graphically-
American Psychological Association (APA)
Khan, Gulista& Gola, Kamal KR.& Dhingra, Manish. 2020. Efficient techniques for data aggregation in underwater sensor networks. Journal of Electrical Systems،Vol. 16, no. 1, pp.90-104.
https://search.emarefa.net/detail/BIM-1020747
Modern Language Association (MLA)
Khan, Gulista…[et al.]. Efficient techniques for data aggregation in underwater sensor networks. Journal of Electrical Systems Vol. 16, no. 1 (2020), pp.90-104.
https://search.emarefa.net/detail/BIM-1020747
American Medical Association (AMA)
Khan, Gulista& Gola, Kamal KR.& Dhingra, Manish. Efficient techniques for data aggregation in underwater sensor networks. Journal of Electrical Systems. 2020. Vol. 16, no. 1, pp.90-104.
https://search.emarefa.net/detail/BIM-1020747
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 102-104
Record ID
BIM-1020747