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.

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.

scholarly journals Extensions of Access-Point Aggregation Algorithm for Large-scale Wireless Local Area Networks

2015 ◽  
Vol 5 (1) ◽  
pp. 200-222 ◽  
Author(s):  
Md. Ezharul Islam ◽  
Nobuo Funabiki ◽  
Toru Nakanishi
Keyword(s):  
Large Scale ◽  
Local Area Networks ◽  
Access Point ◽  
Local Area ◽  
Wireless Local Area Networks ◽  
Point Aggregation

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.

scholarly journals A holding access-point assignment algorithm for IEEE802.11 wireless local-area networks

2018 ◽  
Vol 8 (1) ◽  
pp. 50 ◽  
Author(s):  
Shigeto Tajima ◽  
Nobuo Funabiki ◽  
Teruo Higashino
Keyword(s):  
Local Area Networks ◽  
Access Point ◽  
Local Area ◽  
Wireless Local Area Networks ◽  
Assignment Algorithm

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

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
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