scholarly journals Properties of Channel Interference for Wi-Fi Location Fingerprinting

2010 ◽  
Vol 6 (2) ◽  
pp. 56 ◽  
Author(s):  
Eddie C. L. Chan ◽  
George Baciu ◽  
S.C. Mak
Keyword(s):  
Channel Assignment ◽  
Ad Hoc ◽  
Research Work ◽  
Skewed Distribution ◽  
Positioning Accuracy ◽  
Access Points ◽  
Location Fingerprinting ◽  
Channel Interference ◽  
Assignment Scheme ◽  
Localization Systems

Localization systems for indoor areas have recently been suggested that make use of existing wireless local areanetwork (WLAN) infrastructure and location fingerprinting approach. However, most existing research work ignores channel interference between wireless infrastructures and this could affect accurate and precise positioning. A better understanding of the properties of channel interference could assist in improving the positioning accuracy while saving significant amounts of resources in the location-aware infrastructure. This paper investigates to what extent the positioning accuracy is affected by channel interference between access points. Two sets of experiments compare how the positioning accuracy is affected in three different channel assignment schemes: ad-hoc, sequential, and orthogonal data is analyzed to understand what features ofchannel interference affect positioning accuracy. The results show that choosing an appropriate channel assignment scheme could make localization 10% more accurate and reduces the number of access points that are required by 15%. The experimental analysis also indicates that the channel interference usually obeys a right-skewed distribution and positioning accuracy is heavily dependent on channel interference between access points (APs).

A Novel Algorithm Based on Clustering and Access Points Selection for Indoor Fingerprint Localization

2013 ◽  
Vol 756-759 ◽  
pp. 3527-3531 ◽  
Author(s):  
Xing Zhang ◽  
Lin Ma ◽  
Xue Zhi Tan ◽  
Shi Zeng Guo
Keyword(s):  
Local Area ◽  
Location Based Service ◽  
Positioning Accuracy ◽  
Access Points ◽  
The Real ◽  
Traditional Algorithm ◽  
Selection For ◽  
Novel Algorithm ◽  
Calculated Amount ◽  
Localization Systems

With the growing popularity of location-based service (LBS), wireless local area networks (WLAN) indoor positioning has gained widespread attention. Unlike the traditional algorithm concentrating on positioning accuracy, we discuss how to improve the real-time property in WLAN indoor fingerprinting localization systems. In this paper, we present a novel algorithm which first divides the positioning area into sub-areas utilizing k-means clustering, and then selects appropriate access points (APs) for positioning to make the calculated amount as less as possible. By collecting data and performing in the real WLAN environment, our proposed algorithm shows high positioning accuracy while the computational burden has been decreased almost 93.7%.

scholarly journals On Optimizing WiFi RSSI and Channel Assignment using Genetic Algorithm for WiFi Tuning

2021 ◽  
Vol 19 (3) ◽  
Author(s):  
Anya Apavatjrut ◽  
Sathianporn Kamdee
Keyword(s):  
Genetic Algorithm ◽  
Channel Assignment ◽  
Power Level ◽  
Network Services ◽  
Signal Interference ◽  
Transmission Power ◽  
Access Points ◽  
Channel Interference ◽  
Network Administrators

In this work, we proposed a genetic algorithm-based Wi-Fi-tuning platform that could facilitate the network administrators to cope with co-channel interference triggered by other wireless sources. Generally, with a well-designed WLAN, signal interference from adjacent areas is usually minimized. Unfortunately, when other wireless sources are introduced into the WLAN system, co-channel interference is inevitable. Interference usually causes degradation and/or disruption of network services. Resolving this issue becomes even more complicated when the interfering signals come from access points owned by other ISPs and are not accessible by the network administrators. This paper proposed a Wi-Fi tuning platform that allowed automatic reconfiguration of WLAN settings by finding the best settings for channel assignment and transmission power level. When signal interference is detected, the platform attempts to find heuristic solutions for wireless settings based on a genetic algorithm. From our experiments, we could see that our proposed algorithm could regenerate WLAN settings that provided stronger signal levels, higher coverage ranges while reducing interference levels in the deployment area. With the proposed platform, troubleshooting became less complicated, requiring less cost and time. With the help of the Wi-Fi tuning platform, the network administrators could promptly react to the incidence leading to the enhancement of availability, reliability, and consistency of the WLAN system.

SAM-MAC: An efficient channel assignment scheme for multi-channel ad hoc networks

2008 ◽  
Vol 52 (8) ◽  
pp. 1634-1646 ◽  
Author(s):  
Rongsheng Huang ◽  
Hongqiang Zhai ◽  
Chi Zhang ◽  
Yuguang Fang
Keyword(s):  
Ad Hoc Networks ◽  
Channel Assignment ◽  
Ad Hoc ◽  
Hoc Networks ◽  
Assignment Scheme

Design a Cellular System with Different Cluster Size and Investigate the Co Channel Interference Assuming a Limited Geographical Area with Fixed Channel Assignment Strategy

2017 ◽  
Vol 3 (04) ◽  
Author(s):  
Md.Taz Uddin, Ahmed al Marzean, Md Rafiqul Islam, Shahjahan Ahmed
Keyword(s):  
Channel Assignment ◽  
Cluster Size ◽  
Geographical Area ◽  
Cellular System ◽  
Communication Industry ◽  
Mobile Operator ◽  
Channel Interference ◽  
Assignment Strategy ◽  
Fixed Channel Assignment ◽  
Mobile Communication Industry

There are different communication standards in present mobile communication industry. Each of this standards has its own feature, architecture, and channel assignment strategies. Each mobile operator uses one of any standard and their aim is to support as much user as possible to communicate with tolerable interference. For that reason they use different cluster size and frequency planning to cover entire geographical area. To reuse the given bandwidth within the entire geographical area some cells uses same sets of frequency and interference arise when the distance between these cells is small. Also when distance is large then capacity is going low. In this thesis our work is to investigation the co channel interference among different cluster size assuming a limited sub urban geographical area in a cellular GSM network. Also we calculate the number of users using each of this cluster size and finally design a cellular system in this geographical area using best results (minimum interference and maximum capacity).

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