Efficient techniques for data aggregation in underwater sensor networks
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No. of Pages
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.
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.
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.
Includes bibliographical references : p. 102-104
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