Modeling Of Subscriber Station Energy Consumption Network 802.16

Authors

  • M. Yudha Al Hakim University of North Sumatra

DOI:

https://doi.org/10.35335/mekintek.v12i2.28

Keywords:

Wi Max, Mathematical Modeling, Energy Consumption, NS-2

Abstract

Worldwide Interoperability for Microwave Access (WiMAX) is a Broadband Wireless Access (BWA) technology that has high speed and wide access for multimedia communication. The reception of quality video or voice packets at the receiver is related to how efficient the energy consumption is sent by the Subscriber Station (SS). The more video or voice packets that are sent, the more energy consumption is needed. One way to calculate energy consumption at a WiMAX subscriber station is by using mathematical modeling. This final project is modeling energy consumption in WiMAX. From the simulation, it is found that the change in the bit rate affects the energy consumption of the subscriber station. Through simulation, training data is generated to obtain a mathematical model.The mathematical model contains the components of the state duration and the level of energy consumption. Mathematical models are then used to predict energy consumption in WiMAX. The model is tested through the generation of test data. The test results through simulation showthe percentage deviation of the average energy consumption of training data with mathematical modeling on average is 0.180%. Meanwhile, the energy consumption of test data and mathematical models has an average deviation of 0.187% and 0.191%. The least energy consumption is generated when the MAC Initialization state (state i0) is 0.001 Joule, while the highest energy consumption is the Uplink Frame state (state i14) of 101.017226 Joule.

References

Golmie, N., et al. 2009. The WiMAX System Level Simulator NS-2 MAC+PHY Add-On for WiMAX (IEEE 802.16).

Perrucci, Gian Paolo., et al. 2008. “Energy Saving Strategies for Mobile Devices using Wake-up Signals.” MobiMedia.

Henny, Januarti., et al. 2011. “Simulasi dan Analisis Algoritma Penjadwalan MSIR dan TRS+MSIR untuk Kelas RTPS QOS pada WiMAX (Simulation and Analysis of Algorithm Scheduling MSIR and TRS+MSIR for QOS RTPS Class In WiMAX).” Universitas Telkom.

Bezerra, Nibia S., et al. 2010. “Modelling Power Consumption in IEEE 802.16e WiMAX Mobile Nodes.” The 7th International Telecommunications Symposium . ITS.

Abinader Jr, Fuad M., et al. 2012. “Evaluation of Joint Sleep and Idle Mode in IEEE 802.16e WIMAX.” IJCSI International Journal of Computer Science Issues. 540-541.

Issariyakul, Teerawat., dan Ekram Hossain. 2012. Introduction to Network Simulator NS2. New York: Springer Science+Business Media.

Suherman. 2013. “A Novel Approach for Implementing Worldwide Interoperability for Microwave Access for Video Surveillance.” (Doctoral dissertation, De Montfort University).

Febrinal., et al. 2010. “Pembuatan Tools untuk Perancangan Jaringan WiMAX / IEEE 802.16.” Universitas Telkom.

Suherman. 2016. “Reduksi Konsumsi Energi pada Subscriber Station WiMAX Melalui Pengaturan Beban Protokol Transport.” The 4th National Conference on Industrial Electrical and Electronics (NCIEE). Medan.

Suherman., et al. 2015. “A Transport Layer Protocol for Uplink WiMAX Video Streaming.” International Journal of Multimedia and Ubiquitous Engineering. Medan: SERSC.

Ispriyanti, Dwi. 2007. “Pendekatan Regresi untuk Analisis Ragam Klasifikasi Dua-Arah.” UNDIP.

Downloads

Published

2021-10-30

How to Cite

Hakim, M. Y. A. . (2021). Modeling Of Subscriber Station Energy Consumption Network 802.16. Jurnal Mekintek : Jurnal Mekanikal, Energi, Industri, Dan Teknologi, 12(2), 50–57. https://doi.org/10.35335/mekintek.v12i2.28