Baisakhi Chatterjee

Work place: Computer Science & Engineering Department, Institute of Engineering and Management, Kolkata, City, 700 091, India



Research Interests: Computer Networks, Network Architecture, Network Security


Baisakhi Chatterjee, has obtained her Bachelor's degree in Computer Science from Institution of Engineering and Management, Kolkata in 2018. She has worked under Prof. Saha during that time. Her main research interests include wireless network.

She has gained experience working as a summer intern in Indian Statistical Institute under the guidance of Prof. Nivedita Das. In this capacity, her research focused detection of communities in large scale networks. Her previous works include research on glycolysation of amino acids and routing protocols of ad hoc networks. She currently works in NRIFintech, India.

Author Articles
Parameter Training in MANET using Artificial Neural Network

By Baisakhi Chatterjee Himadri Nath Saha

DOI:, Pub. Date: 8 Sep. 2019

The study of convenient methods of information dissemination has been a vital research area for years. Mobile ad hoc networks (MANET) have revolutionized our society due to their self-configuring, infrastructure-less decentralized modes of communication and thus researchers have focused on finding better and better ways to fully utilize the potential of MANETs. The recent advent of modern machine learning techniques has made it possible to apply artificial intelligence to develop better protocols for this purpose. In this paper, we expand our previous work which developed a clustering algorithm that used weight-based parameters to select cluster heads and use Artificial Neural Network to train a model to accurately predict the scale of the weights required for different network topologies.

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