Evaluation of load balancing algorithms on overlappiing wireless accesspoints

<span>Wireless networks came into the computing world replacing the costlier and more complex wired method of connecting numerous equipment in the same or different location via the use of cables. It provides the user devices a connection to one another and the greater internet via connections to access points. Generally, 802.11 access point products follow a default strongest signal first approach in selecting user devices or nodes to connect to the access point or overlapping access points. This standard does not make provisions for even distribution of load and hence the quality of service and the throughput in areas of congestion would be reduced. This article brings forward two algorithms used in load balancing and they include round-robin technique and the weighted round-robin technique to be used in the simulation of the distribution of the load amongst the access points with the results collated and compared to clearly show which algorithm is best suited to be used as a standard for access point load distribution.</span>

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ANALISIS KUALITAS LAYANAN JARINGAN INTERNET WIFI.ID MENGGUNAKAN PARAMETER QOS (Quality Of Service)

Voteteknika (Vocational Teknik Elektronika dan Informatika) ◽

10.24036/voteteknika.v7i1.103643 ◽

2019 ◽

Vol 7 (1) ◽

pp. 54

Author(s):

Westi Yulia Pusvita ◽

Yasdinul Huda

Keyword(s):

Quality Of Service ◽

Packet Loss ◽

Access Point ◽

Loss Measurement ◽

Access Points ◽

Descriptive Research ◽

A Value ◽

Delay Measurement ◽

Internet Network

This research originated from the quality of the wifi.id internet network in the area of Air Tawar which is varied and more suitable for locations that are farther away than the access points. This study aims to find the quality of the wifi.id internet network in the Air Tawar area, and to obtain the results of delay, packet loss, and throughput generated in measuring the quality of the wifi.id network and compare it with the TIPHON standard. This research is a descriptive research. The population of this study is the wifi.id access point in the Air Tawar area with a research sample of three wifi.id access point locations on Air Tawar. This research was conducted by measuring the quality of wifi.id using the axence nettols 5 application for 10 days in the morning, afternoon and evening. From the results of the research after analysis obtained: (1) The best delay measurement is on Jl. Gajah TP 1 with a value of 8.5 ms and the worst on Jl. Parkit TP 4 with a value of 64.8 ms. (2) The best packet loss measurement is on Jl. Gajah TP 1 with a value of 0.1% and the worst on Jl. Parkit TP 4 with a value of 25.2%. (3) The best throughput measurements can be found at Jl. Gajah TP 1 with a value of 93.04% and the worst on Jl. Parkit TP 4 with a value of 45.21%. Keywords: Delay, Packet loss, Throughput, TIPHON, Axence Nettols 5

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Survey on Load-Balancing Methods in 802.11 Infrastructure Mode Wireless Networks for Improving Quality of Service

ACM Computing Surveys ◽

10.1145/3172868 ◽

2018 ◽

Vol 51 (2) ◽

pp. 1-21 ◽

Cited By ~ 6

Author(s):

Wooi King Soo ◽

Teck-Chaw Ling ◽

Aung Htein Maw ◽

Su Thawda Win

Keyword(s):

Wireless Networks ◽

Quality Of Service ◽

Load Balancing

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Demand of Wireless Network and Security in Current Research

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v14i6.1918 ◽

2015 ◽

Vol 14 (6) ◽

pp. 5809-5813

Author(s):

Abhishek Prabhakar ◽

Amod Tiwari ◽

Vinay Kumar Pathak

Keyword(s):

Wireless Networks ◽

Quality Of Service ◽

Wireless Network ◽

Network Performance ◽

Wireless Security ◽

Human Intervention ◽

Unauthorized Access ◽

Quality Of Service Parameters ◽

Wireless Infrastructure

Wireless security is the prevention of unauthorized access to computers using wireless networks .The trends in wireless networks over the last few years is same as growth of internet. Wireless networks have reduced the human intervention for accessing data at various sites .It is achieved by replacing wired infrastructure with wireless infrastructure. Some of the key challenges in wireless networks are Signal weakening, movement, increase data rate, minimizing size and cost, security of user and QoS (Quality of service) parameters... The goal of this paper is to minimize challenges that are in way of our understanding of wireless network and wireless network performance.

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