scholarly journals Robust and Fast Converging Cross-Layer Failure Correction in Segment-Routed Networks

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2874
Author(s):  
Zengwei Zheng ◽  
Chenwei Zhao ◽  
Jianwei Zhang
Keyword(s):  
User Experience ◽  
Network Performance ◽  
Service Providers ◽  
Physical Layer ◽  
Cross Layer ◽  
Physical Network ◽  
Layer Interaction ◽  
Long Time ◽  
Service Function Chain ◽  
The Cross

Due to overlay technologies, service providers have a logical view of the underlay network and can optimize the experience quality without modifying the physical network. However, the cross-layer interaction inevitably causes network fluctuation due to their inconsistent optimization objectives. Aside from that, network failures that occur in both layers not only cause network performance degradation but also significantly increase the frequency of cross-layer interaction. These problems make the network fluctuate for a long time, reduce the network performance, and influence the user experience, especially for time-sensitive applications. In this paper, we design a cross-layer architecture in which the logical layer can satisfy the service function chain demands and maximize the user experience and physical layer so it can optimize the overall network performance. Our cross-layer architecture can make proactive corrections in both layers. Furthermore, we investigate the cross-layer interaction and design two strategies to eliminate fluctuations and make the network converge quickly.

scholarly journals Enhanced Power based Jamming Management Method for Mobile Ad Hoc Networks

2019 ◽  
Vol 8 (2) ◽  
pp. 5098-5102
Keyword(s):  
Network Performance ◽  
Ad Hoc ◽  
Mobile Network ◽  
Cross Layer ◽  
Mobile Nodes ◽  
Second Stage ◽  
Control Scheme ◽  
Third Stage ◽  
The Cross ◽  
Hoc Networks

The portable mobile network contains adaptable node which are shaped discretionarily. Recalling a definitive goal to keep away from impede, cross layer based blockage manage plot is anticipated for lessening the package occurrences in this system. The planned plot contains three stages. In first stage, the cross layer configuration is proposed to guarantee that the data contribution should be possible between the unquestionable layers in convention stack. In second stage, the blockage unmistakable verification plot is analyzed which accomplishes packet disaster rate and stop upscale factor. In third stage, blockage control is master utilizing cross layer move towards. Here the blockage course is settled in context of the way increase, bolster inhabitancy division. To give smallest centralities utilize and staying away from more blockages, vitality utilizes display and multipath organizing plan is required in structures. . In this study, developed an Efficient Energy based Congestion Control Scheme (EECCS) for jamming prevention and to get better energy efficiency of the mobile nodes[1]. The cross layer propose is deployed to get better the network performance. The multipath direction-finding is concentrating to stay away from jamming and to boost network life span.

scholarly journals Enhancing Wireless Sensor Networks Routing Protocols based on Cross Layer Interaction

2021 ◽  
Vol 5 (2) ◽  
pp. 52-55
Author(s):  
Reem J. Ismail ◽  
Khalid F. Jasim ◽  
Samar J. Ismael ◽  
Soma A. M. Solaimanzadeh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Network Performance ◽  
Smart Cities ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Layer Interaction ◽  
Limited Power

Wireless sensor networks aim to develop a smart city based on sensing environment. The routing protocols of wireless sensor networks is important to transfer the data in smart cities since sensor nodes have limited power and transmission range. The aim of this research is to enhance wireless sensor networks routing protocols based on proposed cross-layer interaction between physical layer and network layer also a proposed routing table information of wireless sensor nodes is developed to consider the transmission power of neighbor’s nodes to determine the next hop. Cross-layer interaction provides a useful information and effective adaptation for WSN routing protocols. As a result, the proposed routing protocol shows an improvement in network performance when number of intermediate nodes are minimized.

scholarly journals Estimating PQoS of Video Conferencing on Wi-Fi Networks Using Machine Learning

2021 ◽  
Vol 13 (3) ◽  
pp. 63
Author(s):  
Maghsoud Morshedi ◽  
Josef Noll
Keyword(s):  
Machine Learning ◽  
Network Performance ◽  
Service Providers ◽  
Video Conferencing ◽  
Machine Learning Algorithms ◽  
Performance Parameters ◽  
High Definition ◽  
Internet Service ◽  
Novel Approach ◽  
5 Ghz

Video conferencing services based on web real-time communication (WebRTC) protocol are growing in popularity among Internet users as multi-platform solutions enabling interactive communication from anywhere, especially during this pandemic era. Meanwhile, Internet service providers (ISPs) have deployed fiber links and customer premises equipment that operate according to recent 802.11ac/ax standards and promise users the ability to establish uninterrupted video conferencing calls with ultra-high-definition video and audio quality. However, the best-effort nature of 802.11 networks and the high variability of wireless medium conditions hinder users experiencing uninterrupted high-quality video conferencing. This paper presents a novel approach to estimate the perceived quality of service (PQoS) of video conferencing using only 802.11-specific network performance parameters collected from Wi-Fi access points (APs) on customer premises. This study produced datasets comprising 802.11-specific network performance parameters collected from off-the-shelf Wi-Fi APs operating at 802.11g/n/ac/ax standards on both 2.4 and 5 GHz frequency bands to train machine learning algorithms. In this way, we achieved classification accuracies of 92–98% in estimating the level of PQoS of video conferencing services on various Wi-Fi networks. To efficiently troubleshoot wireless issues, we further analyzed the machine learning model to correlate features in the model with the root cause of quality degradation. Thus, ISPs can utilize the approach presented in this study to provide predictable and measurable wireless quality by implementing a non-intrusive quality monitoring approach in the form of edge computing that preserves customers’ privacy while reducing the operational costs of monitoring and data analytics.

scholarly journals Estimating PQoS of Video Streaming on Wi-Fi Networks Using Machine Learning

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 621
Author(s):  
Maghsoud Morshedi ◽  
Josef Noll
Keyword(s):  
Machine Learning ◽  
Video Streaming ◽  
Network Performance ◽  
Service Providers ◽  
Perceived Quality ◽  
Internet Service Providers ◽  
Performance Parameters ◽  
Internet Service ◽  
Access Points

Video on demand (VoD) services such as YouTube have generated considerable volumes of Internet traffic in homes and buildings in recent years. While Internet service providers deploy fiber and recent wireless technologies such as 802.11ax to support high bandwidth requirement, the best-effort nature of 802.11 networks and variable wireless medium conditions hinder users from experiencing maximum quality during video streaming. Hence, Internet service providers (ISPs) have an interest in monitoring the perceived quality of service (PQoS) in customer premises in order to avoid customer dissatisfaction and churn. Since existing approaches for estimating PQoS or quality of experience (QoE) requires external measurement of generic network performance parameters, this paper presents a novel approach to estimate the PQoS of video streaming using only 802.11 specific network performance parameters collected from wireless access points. This study produced datasets comprising 802.11n/ac/ax specific network performance parameters labelled with PQoS in the form of mean opinion scores (MOS) to train machine learning algorithms. As a result, we achieved as many as 93–99% classification accuracy in estimating PQoS by monitoring only 802.11 parameters on off-the-shelf Wi-Fi access points. Furthermore, the 802.11 parameters used in the machine learning model were analyzed to identify the cause of quality degradation detected on the Wi-Fi networks. Finally, ISPs can utilize the results of this study to provide predictable and measurable wireless quality by implementing non-intrusive monitoring of customers’ perceived quality. In addition, this approach reduces customers’ privacy concerns while reducing the operational cost of analytics for ISPs.

scholarly journals Cross Layer Optimization and Simulation of Smart Grid Home Area Network

2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Lipi K. Chhaya ◽  
Paawan Sharma ◽  
Adesh Kumar ◽  
Govind Bhagwatikar
Keyword(s):  
Smart Grid ◽  
Network Performance ◽  
Performance Enhancement ◽  
Hierarchical Architecture ◽  
Buffer Size ◽  
Cross Layer ◽  
Area Network ◽  
Frame Aggregation ◽  
Cross Layer Optimization ◽  
Layered Approach

An electrical “Grid” is a network that carries electricity from power plants to customer premises. Smart Grid is an assimilation of electrical and communication infrastructure. Smart Grid is characterized by bidirectional flow of electricity and information. Smart Grid is a complex network with hierarchical architecture. Realization of complete Smart Grid architecture necessitates diverse set of communication standards and protocols. Communication network protocols are engineered and established on the basis of layered approach. Each layer is designed to produce an explicit functionality in association with other layers. Layered approach can be modified with cross layer approach for performance enhancement. Complex and heterogeneous architecture of Smart Grid demands a deviation from primitive approach and reworking of an innovative approach. This paper describes a joint or cross layer optimization of Smart Grid home/building area network based on IEEE 802.11 standard using RIVERBED OPNET network design and simulation tool. The network performance can be improved by selecting various parameters pertaining to different layers. Simulation results are obtained for various parameters such as WLAN throughput, delay, media access delay, and retransmission attempts. The graphical results show that various parameters have divergent effects on network performance. For example, frame aggregation decreases overall delay but the network throughput is also reduced. To prevail over this effect, frame aggregation is used in combination with RTS and fragmentation mechanisms. The results show that this combination notably improves network performance. Higher value of buffer size considerably increases throughput but the delay is also greater and thus the choice of optimum value of buffer size is inevitable for network performance optimization. Parameter optimization significantly enhances the performance of a designed network. This paper is expected to serve as a comprehensive analysis and performance enhancement of communication standard suitable for Smart Grid HAN applications.

scholarly journals Experiment of Telecom Customer’s Needs and Satisfaction Based on Kano Model

2019 ◽  
Vol 9 (2) ◽  
pp. 5074-5077
Keyword(s):  
Customer Satisfaction ◽  
Behavioral Intentions ◽  
Network Performance ◽  
Service Providers ◽  
Kano Model ◽  
One Dimensional ◽  
Wide Range ◽  
Telecom Service ◽  
Four Quadrant

with the changing technology customers are more aware of services available to them. They access wide range of information of available products and services which has lead to change in their perception about services and service providers. This has made telecom a hard sector to survive for telecom service providers. These changes in behavioral intentions has made it necessary to us understand what all services customers feel a mandatory part of telecom service and what attract them to reuse the service. To study these customers needs Kano model was applied to category services of SERVQUAL model on four quadrant - attractive, one dimensional, must-be and indifferent. The result stated that network performance attract telecom customers the most and tangibility factors are the ones which service providers can minimize as customers are indifferent about them. Safety and security in transaction is one dimensional factor that can increase customer satisfaction. Must be attributes need to be continued to maintained customers stay with the telecom brands. Thus study tried to understand behavior of customers and identify factors that could increase customer satisfaction.

scholarly journals Security of Data with Enhanced Technique of AASR Protocol for Secure Crosslayer Routing in MANET

2020 ◽  
Vol 6 (6) ◽  
pp. 17-21
Author(s):  
Shifana Begum ◽  
Megha M Gamskar ◽  
Prakrithi Mogasale
Keyword(s):  
Power Control ◽  
Routing Protocol ◽  
Physical Layer ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Transmission Power ◽  
Dos Attacks ◽  
Layered Architecture ◽  
And Performance ◽  
Reliable Path

MANET supports communication without any wired medium and with layered architecture. It does not uses any infrastructure support. Present alternative to the layered architecture is cross layer design approaches and the interaction between the layers is supported. The security of CLPC (Cross Layer Design Approach for Power control) routing protocol will be discussed in this paper. The transmission power and finding the effective route between source and destination can be improved by CLPC. The reliable path between the source and destination can be determined by RSS from the physical layer, but it is vulnerable to the DOS attacks. Here we propose a Secure cross layer power control protocol SCLPC to placate the attacks on CLPC. The SCLPC protocol provides better results and performance.

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