High density Wi-Fi networks require load balancing in order to ensure quality of service (QoS) In the traditional Wi-Fi networks, the wireless stations learn the access points (APs) load and make the association decisions themselves leading to uneven load distribution among the APs The new paradigm, software defined networking (SDN), has a centralized architecture, which allows to manage, measure and control high density Wi-Fi networks easily In this paper we propose a QoS-aware load balancing strategy (QALB) for software defined Wi-Fi networks (SD-Wi-Fi), as a solution to address the problem of Wi-Fi congestion among the OpenFlow enabled APs (OAPs) The SDN controller selects a load level up to which the association decisions are made by the OAPs without consulting the controller The wireless stations from an overloaded OAP are handed to an underloaded OAP by considering multi-metrics such as the packet loss rate, received signal strength indicator (RSSI) and throughput An emulation platform and a large-scale-low-cost testbed with the same settings are constructed to evaluate the performance of our load balancing strategy The results show that in comparison to four non-static schemes such as, channel measurement based access selection scheme (CMAS), (DL-SINR) downlink-signal to interference plus noise ratio AP selection scheme (DASA), mean probe delay scheme (MPD) and RSSI scheme, the proposed QALB, optimizes the throughput up to 16%, reduces the average frame delay up to 19%, minimizes the number of re-transmissions by 49%, reduces the number of handoffs by 15%, improves the degree of load balancing by 22% and minimizes the re-association times by 38%, in high density SD-Wi-Fi

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Towards QoS-Aware Load Balancing for High Density Software Defined Wi-Fi Networks

In today’s world, Steel plates play essential materials for various industries like the national defense industry, chemical industry, automobile industry, machinery manufacturing, etc. However, some defects may occur in a few plates during the manufacture of stainless-steel plates which directly impact the quality of the stainless-steel plate. If the faulted plate detection can be done manually, then it leads to errors and a time-consuming process. Hence, a computerized automated system is necessary to detect the abnormalities. In this paper, a novel Adaptive Faster Region Convolutional Neural Networks (AFRCNN) scheme has been proposed for automatic fault detection of stainless-steel plates. The proposed AFRCNN scheme comprises three phases: identification, detection, and recognition. Primarily, the damaged plates are identified using Region Proposal Network and Fully Convolutional Neural Network functioning as a combined process under AFRCNN. In the next phase, the number corresponding to the particular plate is recognized through the standard Automated Plate Number Recognition approach with the support of the character recognition technique. The simulation results manifest that the proposed AFRCNN scheme obtains a superior classification accuracy of 99.36%, specificity of 99.24%, and F1-score of 98.18% as compared with the existing state-of-the-art schemes.

An automated steel plates fault diagnosis system using adaptive faster region convolutional neural network

In the present day wireless communication networks, the main objective is to support different multimedia services with various requirements of Quality of Services and varying bandwidth requirements. The key role in effective resource management of WiMAX network is to enhance the performance of network. Gateway (GW) relocation of Access Service Network (ASN) includes changing the Anchor Point (AP) of Mobile station (MS) from one GW of an ASN to another GW of different ASN which is not affected on Traffic's Link Layer (LL) handover. As per existing standards defined by IEE 802.16, when this GW relocation from one ASN to other ASN to be performed is not specified, but have information about the GW relocation procedures based on different call admission control algorithms. In this paper, Bandwidth based call Admission Control (BAC) algorithm is proposed that focuses on requested size from MS instead of the number of MSs arriving in ASN. Hence referring to the IEEE 802.16e standard which defines the mobility management in WiMAX network, Call admission control using BAC algorithm minimizes the packet loss ratio and improves the throughput over existing New Call Bounding (NCB) algorithm.

Analysis of call admission control algorithm in WiMAX network

Fault analysis on continuous variable transmission using DB-06 wavelet decomposition and fault classification using ANN

One of the methods to solve the problem of spectrum demand is spectrum sharing and can be achieved using Cognitive Radio (CR) network. The problem in CR network is physical layer security. The physical layer security can be improved using relays in the secondary network. There are two types of relay slection schemes which are Single Relay Selection (SRS) and Multiple Relay Selection (MRS) schemes. In SRS and MRS schemes, the coordination between primary and secondary network is lost due to mutual interference which results in imperfect Channel State Information (CSI). In this paper,Transmit Antenna Selection (TAS) scheme in MIMO CR network has been proposed for improving the physical layer security compared to SRS and MRS schemes in CR network. The physical layer security is analyzed through Security Reliability Tradeoff (SRT) in terms of Outage Probability (OP) and Intercept Probability (IP) for SRS, MRS and TAS schemes. Simulation results show that SRT performance of TAS scheme in MIMO CR network is better than SRS and MRS schemes.

Transmit antenna selection in MIMO Cognitive Radio networks

The cellular systems require the signals to travel through a base station BS that entirely controls the communication taking place between two devices. However, device to device communication reduces the load on a base station and enables two devices in close proximity to communicate directly. This is known as a device centric approach. Sectorization involves replacing an omnidirectional antenna with directional antennas, achieved by having three or six sectors. In this paper, a smart sectorization scheme is presented that enables the number of sectors to change in accordance with the number of D2D users and hence reduces interference.

Noor Mohammed

Papers

Analysis of call admission control algorithm in WiMAX network

Fault analysis on continuous variable transmission using DB-06 wavelet decomposition and fault classification using ANN

Transmit antenna selection in MIMO Cognitive Radio networks

Smart Sectorization in Device-to-Device (D2D) Communication