Dr. Sharad
Ad-Hoc Sensor Networks Metaheuristic Optimization Algorithms Research Blockchain Technology Applications and Security Energy Efficient Wireless Sensor Networks Wireless Body Area Networks Advanced Wireless Network Optimization Advanced Authentication Protocols Security Multi-swarm optimization Ant colony optimization algorithms Parallel metaheuristic Swarm intelligence Body area network Railway Systems and Materials Science Graphene research and applications Thermal properties of materials Passive optical network Energy Efficiency in Computing Internet of Things and AI Security in Wireless Sensor Networks Ultra-Wideband Communications Technology Aerospace Engineering Artificial Intelligence Biomedical Engineering Computer Networks and Communications Electrical and Electronic Engineering Hardware and Architecture Information Systems Materials Chemistry Mechanical Engineering Mechanics of Materials

Bio

Dr. Sharad Saxena is a Professor and Head of the Department of Electronics and Communication Engineering at MMDU, Mullana, Ambala, India. He earned his Ph.D. in Electronics and Communication Engineering from the National Institute of Technology Kurukshetra and an M.Tech in Computer Engineering. With over 128 publications and 2,077 citations, his research focuses on ad-hoc sensor networks, energy-efficient routing protocols, and classification and regression tree applications. Dr. Saxena is an active member of IEEE and the Internet Society and serves as a reviewer for several journals. He holds an h-index of 21 and an i10-index of 47.

Educational Journey

National Institute of Technology Kurukshetra

Ph.D. • Electronics and Communication Engg.

Ph.D. (CSE), M.Tech (CE)

Experience

Professor and Head

2017 - Present • Electronics and Communication Engg.

National Institute of Technology Kurukshetra

0 - 0

BIT Engineering College

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Affiliations

Internet Society

Membership

Member since 0

IEEE

Membership

Member since 0

Research

Improved NOVSF-TM based Addressing and Energy Efficient Routing in ETR Protocol

Article January 1, 1970

A small WSN is a collection of micro-sensors. Sensors send or receive data to a sink node, which collect and processes it. The Tree-Routing (TR) protocol was initially designed for such network. TR uses strict parent-child links for data forwarding. Hence, it saves bandwidth and energy by preventing network from flooding path search messages. For a large network TR shows large hop-count and more energy consumption. The Enhanced-Tree-Routing (ETR) protocol implemented over TR has structured node address assignment scheme. It considers other one-hop neighbor links, along with parent-child links, for packet forwarding if, it is found to be the shortest path to sink. Such decision in ETR involves minimum computation energy. Instead ETR, the emerging demand for data intensive and energy–efficient applications, needs new or improved routing protocols. In this paper we have proposed Non-Blocking-Orthogonal-Vector Spreading- Factor-Time-Multiplexing (NOVSF-TM) technique for sensor node addressing and Mobile Sinks placement so as to improve ETR protocol. The addressing scheme of NOVSF TM is shorter than ETR. Mobile Sinks positioning, at feasible sites, helps reducing excessive hop-count. This eliminate excessive multi-hoping and save energy. Simulation result shows that NOVSFTM technique is more energy-efficient than ETR protocol.