International Journal of Electronic Devices and Networking
2023, Vol. 4, Issue 2, Part A
An effective method for optimal IOV network clustering using FCM clustering algorithm based on node energy density
Author(s): Nameer Falih Mhaidi
Abstract: There has been a dramatic shift in automobile internet networks toward a new paradigm of intelligent transportation systems known as the Internet of Things because of its tremendous success (IoV). In addition to safety, entertainment, emergency response, and material exchange, VANETs may be used for a wide range of other purposes as well. For these kinds of applications, a lot of data has to be sent back and forth between various vehicles and central command and control stations. In these networks, managing this much data is a huge difficulty. Clustering is a technique for streamlining network administration and reducing the amount of data being sent. As a means of extending the network's nodes' useful lives, we provide a routing technique built on correct clustering in this study. As a result, the FCM clustering method is used in this study to demonstrate the optimum grouping of VANET nodes based on their energy density. The nodes in the network's energy density is first calculated in this study. Following this, the FCM algorithm clusters nodes depending on their energy density. Because of this, clustering happens around the nodes with the most energy in a network environment. According to the results, the cluster center's lifespan in the suggested approach is enhanced compared to previous proposed ways, and the network's lifespan increases between 30 and 100 milliseconds for different values of the number of nodes.
DOI: 10.22271/27084477.2023.v4.i2a.48
Pages: 05-09 | Views: 144 | Downloads: 56
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How to cite this article:
Nameer Falih Mhaidi. An effective method for optimal IOV network clustering using FCM clustering algorithm based on node energy density. Int J Electron Devices Networking 2023;4(2):05-09. DOI: 10.22271/27084477.2023.v4.i2a.48
