Vaibhav Kotiyal

Vaibhav Kotiyal
Indian Institute of Technology Kanpur | IIT Kanpur · Department of Industrial and Management Engineering (IME)

Master of Technology

About

3
Publications
1,824
Reads
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67
Citations
Additional affiliations
October 2020 - present
Indian Institute of Technology Kanpur
Position
  • Fellow
Description
  • Working in a MeitY sponsored project titled "Tribe Connect: Integrated Smart Tribal Eco-Platform -- A Proof of Concept in Chhattisgarh (TPT)"
Education
August 2015 - June 2020
Gautam Buddha University
Field of study
  • Wireless Communication and Networks
August 2015 - June 2020
Gautam Buddha University
Field of study
  • Wireless Communication and Networks
August 2015 - June 2020
Gautam Buddha University
Field of study
  • Wireless Communication and Networks

Publications

Publications (3)
Article
Sensors in Wireless Sensor Network (WSN) sense, process, and transmit information simultaneously. They mainly find applications in agriculture monitoring, environment monitoring, smart city development and defence. These applications demand high-end performance from the WSN. However, the performance of a WSN is highly vulnerable to various types of...
Article
Full-text available
Node localisation plays a critical role in setting up Wireless Sensor Networks (WSNs). A sensor in WSNs senses, processes and transmits the sensed information simultaneously. Along with the sensed information, it is crucial to have the positional information associated with the information source. A promising method to localise these randomly deplo...
Article
Full-text available
Node localisation is one of the significant concerns in Wireless Sensor Networks (WSNs). It is a process in which we estimate the coordinates of the unknown nodes using sensors with known coordinates called anchor nodes. Several bio-inspired algorithms have been proposed for accurate estimation of the unknown nodes. However, use of bio-inspired alg...

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Projects

Projects (2)
Project
This project aims to evaluate the potential of machine learning and artificial intelligence model to address the key problem domains of WSNs and wireless communication.
Project
We investigate how the nature inspired intelligence optimization solves the critical issues in wireless communications and WSNs more efficiently.