Computer Vision Conference (CVC) 2026
21-22 May 2026
Publication Links
IJACSA
Special Issues
Computer Vision Conference (CVC)
Computing Conference
Intelligent Systems Conference (IntelliSys)
Future Technologies Conference (FTC)
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 12, 2018.
Abstract: Renewable sources like solar and wind energy have seen a drastic increase in the market, especially in developing countries where electricity prices are high and QoS and QoE, both are at their lowest. In this paper, we innovate by proposing a paradigm of smart off-grid from sensing using an Internet of Things (IoT) based smart meter for continuous monitoring, to reporting a daily user on their smart devices using IoT middleware. Our proposed smart off-grid system keeps track of the performance and faults of the off-grid equipment. Under communication technology scrutiny, we model 3GPP Narrow Band IoT (NB-IoT) collision and success probability of grouping smart meter communications to avoid random access channel (RACH) congestion. The proposed smart off-grid communications outperform existing systems and achieve 1.3 to 20 times higher SINR, more than 30 Mbps data rate in 4G, three times higher data rate in NB-IoT, 25% fewer collisions and 25% higher success rate.
Farooque Hassan Kumbhar. “NB-IoT Pervasive Communications for Renewable Energy Source Monitoring”. International Journal of Advanced Computer Science and Applications (IJACSA) 9.12 (2018). http://dx.doi.org/10.14569/IJACSA.2018.091275
@article{Kumbhar2018,
title = {NB-IoT Pervasive Communications for Renewable Energy Source Monitoring},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091275},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091275},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {12},
author = {Farooque Hassan Kumbhar}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.