Prabhath Illangakoon

Work place: Research & Development Unit, Ceylon Electricity Board, Colombo, Sri Lanka

E-mail: prabath86@gmail.com

Website:

Research Interests:

Biography

Prabhath Ilangakoon is presently an electrical engineer at Ceylon Electricity Board. He involves in research and development activities related to Automated Metering Infrastructure (AMI). His research interests include renewable energy forecasting, smart metering, and smart grids.  

Author Articles
Path Loss Analysis of ZigBee for Smart Meter Network Deployment in NAN

By Sehan Samarakoon Maheshi B. Dissanayake Kithsiri M Liyanage Sudheera Navaratne Chirantha Jayasinghe Prabhath Illangakoon

DOI: https://doi.org/10.5815/ijcnis.2024.05.07, Pub. Date: 8 Oct. 2024

A fundamental and vital aspect of Smart Metering infrastructure is the communication technologies and techniques associated with it, especially between the Smart Meters and the Data Concentrator Unit. Among many available communication technologies, ZigBee provides a low-cost, low-power, and easy-to-deploy network solution for a Smart Meter network. There exists limited literature that discusses ZigBee as a potential communication technology for long-range networks. Hence thorough analysis is demanded on the suitability of ZigBee for smart meter deployment under different types of environmental conditions, coverage ranges, and obstacles. This work evaluates the performance of an extended ZigBee module in outdoor as well as indoor conditions in the presence of different types of obstacles. Parameters are obtained for path loss exponent and the standard deviation of the Gaussian Random variable to validate the Log Normal Shadowing model for modeling long-range ZigBee communication. The impact of obstacles on path loss is also considered. The results show that the Log Normal Shadowing model is a good approximation for the behavior of ZigBee path loss. Accordingly, the suitability of ZigBee for a Smart Meter network spanned as a Neighborhood Area Network is also assessed based on the approximated model.

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