M.Tech, B-Tech

Nithya currently serves as Research Associate at the Amrita Center for Wireless Networks & Applications, Amritapuri Campus. She pursued her BTech in Electronics and Communication and MTech in Wireless Networks and Application from Amrita Centre for Wireless Networks and Applications. She is involved in various research activities in the WSN Landslide and WSN Heterogeneous Networks groups. Her major focus and involvement was in Statistical analysis of Landslide data in Munnar and Sikkim, Design and development of WSN in indoor, outdoor and rural areas. Other research areas are Machine Learning, Mobile Ad- Hoc networks and OceanNet. She has also worked on developing experiments on Remote Triggered WSN Lab.

Research Group: Machine Learning, Communication Systems for Extreme Environments: Landslide & Oceannet


  • 2014: M.Tech. in Wireless Networks and Applications
    Amrita Vishwa Vidyapeetham, Amrita Vishwa Vidyapeetham, Kerala, India
  • 2012: B. Tech. in Electronics and Communication Engineering
    Younus College of Engineering and Technology, Kollam,University of Kerala, Kerala, India;


  • October 2014 – Present: Teaching Assistant, M Tech Wireless Networks and Applications, Amrita Vishwa Vidyapeetham
    • Wireless Sensor Networks
    • 4G Mobile Broadband and Small Cell Networks
    • Mobile Communication Networks
    • Advanced Computer Networks
  • July – Dec 2016 – Present: Co- Advisor, Dissertation, M Tech Wireless Networks and Applications
    • Affordable Rural Internet Access Analysis and Modelling


  • Data Analysis part of Early Warning Landslide Monitoring System. For the design and development of WSN in both indoor and 
    outdoor applications
  • Ocean Net: in the design and development of a mobile infrastructure for the offshore communication and networking in the coastal region targeting to ensure effective communication whilst tackling natural disasters and hazards.
  • Remote Rural are network designing
  • Heterogeneous ad-hoc network designing


Publication Type: Conference Paper

Year of Publication Title


V. S. Anusha, Nithya, G. K., and Sethuraman Rao, “A comprehensive survey of electromagnetic propagation models”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2018.[Abstract]

Path loss is caused by the propagation characteristics and the obstacles between transmitter and receiver due to which signal strength is reduced in wireless communication. Analysis based on path loss models provides good initial estimate of the signal characteristics. Propagation models are used to determine the path attenuation based on parameters such as carrier frequency, transmitter-receiver distance, basestation antenna height, receiver antenna height and terrain profile (e.g. rural, suburban and urban). Propagation models are used for path loss estimation which is important for planning the deployment of base-stations and area of coverage. In this paper, different Propagation models such as Okumura's Model, Hata Model, Longley rice Model, Free Space Propagation Model, COST 231 Extension to Hata Model, COST 231 Walfisch Ikegami Model, Stanford University Interim (SUI) Model and Hata-Okumura Model are surveyed. A comparative analysis of these models is provided which can serve as a valuable guide for selecting the appropriate model for a specific application scenario.

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V. Sai Anusha, Nithya, G. K., and Rao, S., “Modeling Rural Connectivity Requirements in India with Case Studies”, in 2017 IEEE International Conference on Electrical, Computer and Communication Technologies (IEEE ICECCT 2017), 2017.


V. Sai Anusha, Nithya, G. K., and Rao, S., “Comparative Analysis of Wireless Technology Options for Rural Connectivity”, in 7th IEEE International Advance Computing Conference (IACC-2017), 2017.


Sethuraman Rao, Nithya, G. K., and Rakesh, K., “Development of a wireless sensor network for detecting fire and Gas leaks in a collapsing building”, in Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on, 2014.[Abstract]

High-rise commercial and residential buildings are very common in today's modern cities and are subject to fires and gas leaks. When such buildings collapse, however, it is imperative that methods for the rescue and evacuation of residents be considered. This paper mainly focuses on detecting potential occurrences of cascading disasters due to fires and gas leaks in a collapsing building by frequently communicating with an Incident Management System via a wireless sensor network and UAVs. Using QualNet, an in-depth study of various antenna options and their characteristics is done and the selection of a suitable antenna, based on this study, is discussed. The network characteristics of ZigBee at different operating frequencies are also analyzed. Furthermore, an algorithm is proposed to deploy a wireless sensor network to detect fires, gas leaks, etc., using minimal number of ZigBee nodes. More »»