Analysis of multiple sleeps and N-policy on a M/G/1/K user request queue in 5g networks base station
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.21Keywords:
Mobile Network, Wireless Network, Energy Consumption, Multiple Sleeps, N- Policy, Finite capacity.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The primary purpose of green communication is to reduce energy use. The base station (BS) is a radio receiver/transmitter that acts as the wireless network’s hub. It serves as a link between a wired and wireless network. To receive and transmit messages, BS uses a lot of energy. The use of effective sleep and wake-up/setup activities with an acceptable delay helps reduce base station power consumption. In this paper, the BS’s service process is modelled as a finite buffer queue with close down, sleep, and setup. After a certain number of user requests (URs) have accumulated in the system, to awaken the BS from multiple sleeps (MS) the -Policy is implemented. To produce probability generating functions, the supplementary variable approach is applied. The UR’s mean delay and the BS’s mean power consumption are calculated using simulation. According to computational studies, multiple sleeps with -policy consume less power than multiple sleeps without -policy.Abstract
How to Cite
Downloads
Similar Articles
- Ratnakaram Raghavendra, Saila K. A. Reddy, Exploring cosmic ray energy loss mechanisms: Insights from Bethe-Bloch, modified bethe-bloch, and inverse compton scattering equations , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- K. Mohamed Arif Khan, A.R. Mohamed Shanavas, Optimizing IoT application deployment with fog - cloud paradigm: A resource-aware approach , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Anju Yadav, Dr. Sunil Kumar, Exploring Behavioural Dimensions of Organic Food Repeat Purchase Behaviour: An Exploratory Factor Analysis Among Indian Consumers , The Scientific Temper: Vol. 17 No. 03 (2026): The Scientific Temper
- Jadhav Girish Vasantrao, Chirag Patel, AT&C and non-technical loss reduction in smart grid using smart metering with AI techniques , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Shriram N. Kargaonkar, Sushma Pradeep Chalke, Sunil Mahajan, Statistical Modeling of Consumer Preferences for Eco-friendly Digital Products: A Data-driven Approach Toward Sustainable Consumption in India , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Sharanagouda N. Patil, Ramesh M. Kagalkar, Analysis of substrate materials for flexible and wearable MIMO antenna for wireless communication , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Elangovan G. Reddy, Anjana Devi V, Subedha V, Tirapathi Reddy B, Viswanathan R, A smart irrigation monitoring service using wireless sensor networks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- S. Dhivya, S. Prakash, Power quality assessment in solar-connected smart grids via hybrid attention-residual network for power quality (HARN-PQ) , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- V. Infine Sinduja, P. Joesph Charles, A hybrid approach using attention bidirectional gated recurrent unit and weight-adaptive sparrow search optimization for cloud load balancing , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Rajesh Rayal, Alveena Saher , Pankaj Bahuguna, Shailza Negi, Study on Breeding Capacity of Snow Trout Schizothorax richardsonii (Gray) From River Yamuna, Uttarakhand, India , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.

