On Access Point Selection in IEEE 802.11 Wireless Local Area Networks

2006 ◽  
Author(s):  
Murad Abusubaih ◽  
James Gross ◽  
Sven Wiethoelter ◽  
Adam Wolisz
Keyword(s):  
Ieee 802.11 ◽  
Local Area Networks ◽  
Access Point ◽  
Local Area ◽  
Wireless Local Area Networks ◽  
Point Selection

Green Access Point Selection for Wireless Local Area Networks Enhanced by Cognitive Radio

2013 ◽  
Vol 18 (4) ◽  
pp. 553-566 ◽  
Author(s):  
Wendong Ge ◽  
Shanzhi Chen ◽  
Hong Ji ◽  
Xi Li ◽  
Victor C. M. Leung
Keyword(s):  
Cognitive Radio ◽  
Local Area Networks ◽  
Access Point ◽  
Local Area ◽  
Wireless Local Area Networks ◽  
Point Selection ◽  
Selection For

scholarly journals A Software Defined Wireless Networking Approach for Managing Handoff in IEEE 802.11 Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
José Quaresma Filho ◽  
Nailson Cunha ◽  
Robertson Lima ◽  
Eudisley Anjos ◽  
Fernando Matos
Keyword(s):  
Video Streaming ◽  
Ieee 802.11 ◽  
Local Area Networks ◽  
Access Point ◽  
Local Area ◽  
Wireless Networking ◽  
Wireless Local Area Networks ◽  
Essential Information ◽  
Handoff Delay ◽  
802.11 Networks

In Wireless Local Area Networks (WLAN) with more than one access point (AP), the handoff process plays a crucial role to guarantee the user service continuity. Usually initiated by the client’s equipment, it occurs smoothly on the order of seconds. However, despite being functional and well-established, this process can be inadequate in scenarios where users are executing multimedia applications, such as real-time video streaming or VoIP. For these applications, those few seconds may cause loss of packets, resulting in loss of essential information. Because of that, this study proposes a Software Defined Wireless Networking (SDWN) approach, in which a controller decides when to initiate the handoff process and chooses the AP the client’s device must connect. This approach was implemented in a testbed scenario and the results have shown its efficiency by decreasing the handoff delay and providing more stability to the process.

IEEE 802.11 Wireless Local Area Networks

2006 ◽  
pp. 77-117
Author(s):  
Stefan Mangold ◽  
Lars Berlemann ◽  
Matthias Siebert ◽  
Bernhard H. Walke
Keyword(s):  
Ieee 802.11 ◽  
Local Area Networks ◽  
Local Area ◽  
Wireless Local Area Networks

scholarly journals 802.11 wireless simulation and anomaly detection using HMM and UBM

SIMULATION ◽  
2020 ◽  
Vol 96 (12) ◽  
pp. 939-956 ◽  
Author(s):  
Anisa Allahdadi ◽  
Ricardo Morla ◽  
Jaime S Cardoso
Keyword(s):  
Anomaly Detection ◽  
User Behavior ◽  
Local Area Networks ◽  
Principal Component ◽  
Access Point ◽  
Local Area ◽  
Wireless Local Area Networks ◽  
Network Simulator ◽  
Detection Analysis ◽  
And Performance

Despite the growing popularity of 802.11 wireless networks, users often suffer from connectivity problems and performance issues due to unstable radio conditions and dynamic user behavior, among other reasons. Anomaly detection and distinction are in the thick of major challenges that network managers encounter. The difficulty of monitoring broad and complex Wireless Local Area Networks, that often requires heavy instrumentation of the user devices, makes anomaly detection analysis even harder. In this paper we exploit 802.11 access point usage data and propose an anomaly detection technique based on Hidden Markov Model (HMM) and Universal Background Model (UBM) on data that is inexpensive to obtain. We then generate a number of network anomalous scenarios in OMNeT++/INET network simulator and compare the detection outcomes with those in baseline approaches—RawData and Principal Component Analysis. The experimental results show the superiority of HMM and HMM-UBM models in detection precision and sensitivity.

Performance aspects of IEEE 802.11 wireless local-area networks

1996 ◽  
Author(s):  
Brian Crow ◽  
Indra Widjaja ◽  
Jeong G. Kim ◽  
Prescott Sakai
Keyword(s):  
Ieee 802.11 ◽  
Local Area Networks ◽  
Local Area ◽  
Wireless Local Area Networks
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