Amitava Ray

Work place: Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Majitar, Sikkim, INDIA



Research Interests: Applied computer science, Computer systems and computational processes, Computer Architecture and Organization, Data Structures and Algorithms


Dr. Amitava Ray is an Associate Professor in the Department of Mechanical Engineering at Sikkim Manipal Institute of Technology, Sikkim. He received BE and Ph.D in Production Engineering from Jadavpur University, ME in Production Engineering (specialization in Manufacturing Engineering) from Mumbai University. He has around 15 year’s professional experience in industry and teaching and published more than 20 research papers. His research interests include operations management, supply chain management, cost engineering, and applied soft computing.

Author Articles
Fast Vertical Handover Algorithm for Vehicular Communication: A Holistic Approach

By Sourav Dhar Shubhajit Datta Rabindra Nath Bera Amitava Ray

DOI:, Pub. Date: 8 Apr. 2012

Next generation vehicular communication environment will consist of heterogeneous radio access networks (RAN). For seamless connectivity, vertical handover is a mandatory requirement. A novel context aware vertical handover algorithm is presented here. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), which is a multi criteria decision making (MCDM) tool, is used for the development of algorithm and MATLAB/SIMULINK is used as simulation platform. The optimum network is selected, based on multiple factors such as network traffic load, velocity of mobile station, data rate, usage cost and initial delay of network, among the available networks such as WiMax, WLAN and UMTS. This algorithm has been tested by simulating a virtual road traffic scenario. Variations in optimum RAN selection with vehicle speed keeping network traffic load constant and RAN selection with network traffic load keeping vehicle speed constant are shown graphically. The proposed algorithm is very simple yet powerful compared to the existing VHO algorithms and hence requires less execution time.

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