Access point backhaul capacity aggregation as a matching game in the context of Wireless Local Area Networks

2018 ◽  
Vol 139 ◽  
pp. 92-108
Author(s):  
Kawther Hassine ◽  
Mounir Frikha ◽  
Tijani Chahed
Keyword(s):  
Local Area Networks ◽  
Access Point ◽  
Local Area ◽  
Wireless Local Area Networks ◽  
Matching Game

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.

An Access-Point Aggregation Approach for Energy-Saving Wireless Local Area Networks

2013 ◽  
Vol E96.B (12) ◽  
pp. 2986-2997 ◽  
Author(s):  
Md. Ezharul ISLAM ◽  
Nobuo FUNABIKI ◽  
Toru NAKANISHI ◽  
Kan WATANABE
Keyword(s):  
Energy Saving ◽  
Local Area Networks ◽  
Access Point ◽  
Local Area ◽  
Wireless Local Area Networks ◽  
Point Aggregation

scholarly journals AP Deployment Research Based on Physical Distance and Channel Isolation

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Dangui Yan ◽  
Chengchang Zhang ◽  
Honghua Liao ◽  
Lisheng Yang ◽  
Ping Li ◽  
...  
Keyword(s):  
Local Area Networks ◽  
Access Point ◽  
Local Area ◽  
Physical Distance ◽  
Mutual Interference ◽  
Optimal Location ◽  
Wireless Local Area Networks ◽  
Position Information ◽  
Penalty Factor

Aiming at the problem of inefficiency of wireless local area networks (WLAN) access point (AP) deployment in urban environment, a new algorithm for AP deployment based on physical distance and channel isolation (DPDCI) is proposed. First, it detects the position information of deployed APs and then calculates the interference penalty factor combined with physical distance and channel isolation, and finally gets the optimal location and channel of the new AP through the genetic algorithm. Comparing with NOOCA algorithm and NOFA-2 algorithm, the results of numerical simulation show that the new algorithm can minimize the mutual interference between basic service sets (BSS), can ensure the maximum of throughput based on quality of service (QoS) in BSS, and can effectively improve the system performance.

scholarly journals Improved Association and Disassociation Scheme for Enhanced WLAN Handover and VHO

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Sungjin Shin ◽  
Donghyuk Han ◽  
Hyoungjun Cho ◽  
Jong-Moon Chung
Keyword(s):  
Mobile Devices ◽  
Local Area Networks ◽  
Access Point ◽  
Local Area ◽  
Vertical Handover ◽  
Base Station ◽  
Wireless Local Area Networks ◽  
Received Signal Strength Indicator ◽  
Wireless Protocol

The number of mobile devices and wireless connections is significantly increasing. Among many wireless protocol types, wireless local area networks (WLANs) are expected to support a significant number of devices. Due to this reason, effective and efficient handover (HO) and vertical handover (VHO) support for WLAN mobile devices is important. A significant improvement in quality of service (QoS) can be obtained by reducing the association and disassociation interruption time for user equipment (UE) servicing real-time applications during WLAN HO and VHO operations. Based on this focus, this paper investigates the problem of using only the received signal strength indicator (RSSI) in HO and VHO decisions, which is what the current IEEE 802.11 based WLAN systems use. Experimental results presented in this paper demonstrate that only using the RSSI results in significant interruption time during HO to another WLAN access point (AP) or to a cellular base station during VHO. Therefore, in this paper, an improved association and disassociation scheme that can reduce the data interruption time (DIT) and improve the throughput performance is proposed.

scholarly journals Optimal Access Point Power Management for Green IEEE 802.11 Networks

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2076
Author(s):  
Rosario G. Garroppo ◽  
Gianfranco Nencioni ◽  
Luca Tavanti ◽  
Bernard Gendron ◽  
Maria Grazia Scutellà
Keyword(s):  
Power Management ◽  
Benders Decomposition ◽  
Local Area Networks ◽  
Exact Algorithm ◽  
Access Point ◽  
Problem Formulation ◽  
Local Area ◽  
Wireless Local Area Networks ◽  
Integer Programming Problem ◽  
802.11 Networks

In this paper, we present an approach and an algorithm aimed at minimising the energy consumption of enterprise Wireless Local Area Networks (WLANs) during periods of low user activity. We act on two network management aspects: powering off some Access Points (APs), and choosing the level of transmission power of each AP. An efficient technique to allocate the user terminals to the various APs is the key to achieving this goal. The approach has been formulated as an integer programming problem with nonlinear constraints, which comes from a general but accurate characterisation of the WLAN. This general problem formulation has two implications: the formulation is widely applicable, but the nonlinearity makes it NP-hard. To solve this problem to optimality, we devised an exact algorithm based on a customised version of Benders’ decomposition method. The computational results proved the ability to obtain remarkable power savings. In addition, the good performance of our algorithm in terms of solving times paves the way for its future deployment in real WLANs.

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