Transmission Power Optimization of Concurrently Communicating Two Access Points in Wireless Local Area Network

Transmission Power Optimization of Concurrently Communicating Two Access Points in Wireless Local Area Network

Hendy Briantoro, Nobuo Funabiki, Minoru Kuribayashi, Kwenga Ismael Munene, Rahardhita Widyatra Sudibyo, Md. Manowarul Islam, Wen-Chung Kao
Copyright: © 2020 |Pages: 25
DOI: 10.4018/IJMCMC.2020100101
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Currently, the IEEE 802.11 wireless local-area network (WLAN) has been prevalent around the world due to the advantages of mobility, flexibility, and scalability. WLAN offers the wireless internet-access method through an access-point (AP) at homes, schools, or offices. When multiple APs are deployed in the network field, the proper transmission power of each AP is essential to improve the performance, considering the coverage area, transmission capacity, and interference. In this paper, the authors study the transmission power optimization of concurrently communicating two APs in WLAN. Based on extensive experiment results, the authors propose a method of selecting the best power for each AP from the signal-to-noise ratio (SNR) of receiving signal strength (RSS). For evaluations, the authors implemented the proposed method on the elastic WLAN system testbed using Raspberry Pi for APs and conducted experiments for nine network topologies in two buildings at Okayama University. The results show that the proposal always selects the best power in any topology.
Article Preview
Top

In this section, we discuss related work in literature. As shown below, these works may not be practical, since the effectiveness was verified only in simulations, or the values of several parameters must be properly adjusted for each WLAN to be applied. On the other hand, our proposal does not need any parameter adjustment and the effectiveness is verified in real testbed experiments.

In (Qiao, 2003; Qiao, 2007), Qiao et al. proposed an optimal low-energy transmission strategy called MiSer, which can be deployed in the format of RTS-CTS-Data-Ack. The key idea is to combine the transmission power control (TPC) and the physical layer (PHY) rate adaptation, and to compute offline the optimal rate-power combination table, where at runtime, a wireless station determines the most energy-efficient transmission strategy for each data frame transmission by a simple table lookup. However, the effectiveness was verified only in simulations.

Complete Article List

Search this Journal:
Reset
Volume 15: 1 Issue (2024)
Volume 14: 1 Issue (2023)
Volume 13: 4 Issues (2022): 2 Released, 2 Forthcoming
Volume 12: 4 Issues (2021)
Volume 11: 4 Issues (2020)
Volume 10: 4 Issues (2019)
Volume 9: 4 Issues (2018)
Volume 8: 4 Issues (2017)
Volume 7: 4 Issues (2016)
Volume 6: 4 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing