Analysis of Real Life Networks Using Centrality Measure
Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018
6 Pages Posted: 9 May 2018
Date Written: April 29, 2018
Wireless Sensor Networks are presently entwined into all the main fields of applications. This raises the need for a thorough analysis of the networks in order to understand the network architecture and strength which in turn would be helpful in designing effective, relevant and robust network architecture for applications. In this paper, we have analyzed a network from real life scenario using centrality measures in order to understand its structure, and have derived certain conclusions about the connectivity and robustness of the network based upon the observations. For carrying out the experiment Gephi tool is used. The results based upon the observations indicate that the network is robust, well-connected as well as reliable when seen from centrality point of view.
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