Work place: Department of Computer Science & Engineering, GIET University, Odisha, India
E-mail: rabindra.shial@giet.edu
Website:
Research Interests: Computer Networks
Biography
Rabindra Kumar Shial is working as Assistant Professor in the department of Computer Science and Batch Coordinator of B.Tech Program at National Institute of Science and Technology (Autonomous), India.I have done my M.Tech from Indian Institute of Engineering Science and Technology, Shibpur,Calcutta.I have done my BE in Electronics Engineering. from NIT,Bhopal.I have about 22 years of experience in academic, Administration as well as research.My area of interest includes Wireless Sensor Network, Computer networking.Currently I am pursuing my Ph.D at G I E T University,Gunupur, Odisha, India.
By Rabindra Kumar Shial Premanshu Rath Sudhir Ranjan Patnaik Sarat Chandra Nayak Umashankar Ghugar
DOI: https://doi.org/10.5815/ijcnis.2024.06.04, Pub. Date: 8 Dec. 2024
In the communication model of the OSI layer, the Media access control (MAC) layer has been given higher priority than other layers. It is a sub-layer of the data link layer, mainly controlling the physical equipment and interacting with the channels over the Internet of Things (IoT) sensor nodes. Mac layers have used two protocol types: contention-based and contention-free during transmission. These two protocols have controlled the physical equipment and data transmission for the last decade. Yet in the MAC layers transmission, some challenging issues are complicated to resolve. Data collisions are the significant changing issues at the MAC layer. As per the survey of researchers, the contention-based protocol is more affected by collision due to allowing the sharing of channels to all nodes over networks. As a result, it has got message delay, demanding more energy, data loss, and retransmission. The researcher always focuses on reducing collision during transmission to overcome these issues. They mainly evaluate the priority-based collision control using the contention-based protocol. In this ANTMAC model, we have considered the lower energy nodes’ priority to enhance the likelihood that a node will gain access to the transmission channel before its power and batteries run out. Our recommended method ANTMAC outperforms ECM-MAC in terms of content retrieval time (CRT), total no of retransmission (TNR), total energy consumption (TEcm), throughput and network lifetime (NLT).
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