Volume 20 No 12 (2022)
 Download PDF
Literature Survey on Fuzzy C-means (FCM) used in Clustering Protocols
Rachana Gokhale , Moresh Mukhedkar , Pallavi Sapkale , Sandip Shelke
Recently, Internet of Things is taking over the world and became the main source in the technology industry used in many appliances. IoT is based on wireless sensor nodes (WSN). WSN-based IoT network constraints the energy resources. Many protocols are used for saving the energy of nodes and increase the period of the network. For these nodes are organised in a cluster form. This reduces the transmission distance between the sensing element nodes and therefore the base station (BS). In the recent work, the clustering protocol are improved to increase the network lifetime of the WSN. Clustering protocols have many types and are used in different domains. Through this, we get to know which protocol is more useful and what is the role of the fuzzy c-means algorithm in clustering protocol and also in the wireless sensor nodes (WSN). Thus, the main aim of this literature paper is to enhance the clustering protocol by improving the FCM and find a way to improve it from the previous work.
clustering protocol, Wireless sensor network, energy consumption, Fuzzy c-means algorithm.
Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.