Atul Kumar Pandey

Work place: Department of Electronics and Communication Engineering, Birla Institute of Technology, Extension Center Patna, Patna-800014, India

E-mail: atulkrpandey@gmail.com

Website:

Research Interests: Computer Networks

Biography

Atul Kumar Pandey Atul Kumar Pandey received the Bachelor of Technology degree in Electronics and Communication Engineering from Uttar Pradesh Technical University, Lucknow, India in 2007 and Master of Engineering degree in Electronics and Communication Engineering from Birla Institute of Technology, Mesra, Ranchi, India in 2009. He currently is an Assistant Professor in the Department of Electronics and Communication Engineering, Birla Institute of Technology, Extension Centre Patna, Patna, India. His research interests are Wireless Communication, Digital communication, Wireless sensor networks and Internet of Things (IoT).

Author Articles
An Energy Efficient Clustering-based Load Adaptive MAC (CLA-MAC) Protocol for Wireless Sensor Networks in IoT

By Atul Kumar Pandey Nisha Gupta

DOI: https://doi.org/10.5815/ijwmt.2019.05.04, Pub. Date: 8 Sep. 2019

Recent advancement in microelectronics and sensor devices have led to the development of a new family of networks called Internet of things (IoT). One of the challenges of IoT is the integration of autonomous and smart devices with multiple constraints specific to the wireless sensor network (WSN) environment. Among these constraints, the most important constraint is the energy efficiency of medium access control (MAC) protocol. To solve this problem, we propose an improved protocol called clustering based load adaptive MAC (CLA-MAC) for WSNs in IoT scenario, which involves mainly traffic load balancing  within each cluster to provide a tuneable trade-off between energy consumption, delay, and throughput. The proposed solution makes the MAC protocol more energy efficient by reducing competition between sensor nodes with the adoption of clustering scheme and traffic distribution, which can significantly reduce the probability of collision and idle listening. Simulation results indicate that the proposed approach performs better compared with load adaptive MAC (LA-MAC) protocol in typical IoT scenario.

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