Ad Hoc Distributed Wireless Sensor Networks with Geological Multi-Layered Energy-Efficient Clustering Scheme

Authors(1) :-P. Bhaskara

Underwater wireless sensor networks (UWSNs) have been showed as a promising technology to monitor and explore the oceans in lieu of traditional undersea wire line instruments. Nevertheless, the data gathering of UWSNs is still severely limited because of the acoustic channel communication characteristics. This study introduces a geographical multi-layered clump protocol for circumstantial wireless sensing element networks (WSNs), wherever the scale of clusters is variable so the nearer clusters to the bottom station (BS) have a smaller size than farther ones. Moreover, in every cluster, victimization some intelligent fuzzy rules and during a decentralized means, a unique subtree strategy is decided. During this means, some parent nodes area unit chose that area unit accountable for assembling and aggregating knowledge from their adjacent normal nodes and causing them to its cluster head, directly or via different parent nodes, that well decreases intra-cluster communication energy prices. what is more, these 2 compatible techniques will fairly mitigate the recent spot downside ensuing from multi-hop communication with the SB planned protocol performs higher in terms of purposeful network longevity for each small-scale and large-scale sensing element networks.

Authors and Affiliations

P. Bhaskara
MCA Sri Padmavathi College Of Computer Sciences And Technology Tiruchanoor, Andhra Pradesh, India

Underwater wireless sensor networks, intra-cluster communication, fuzzy rules.

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 473-478
Manuscript Number : CSEIT1833418
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

P. Bhaskara, "Ad Hoc Distributed Wireless Sensor Networks with Geological Multi-Layered Energy-Efficient Clustering Scheme", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.473-478, March-April-2018.
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