Home networks

Home Networks

Authored by Haris Gacanin, Amir Ligata, and Erma Perenda Quality of Experience Inference for Video Services in Home Wi-Fi Networks is a journal extract published on the 3rd day of March in the 56th volume of the IEEE Communications Magazine. The article is designed to look into important home network topics ranging from quality of experience, quality of service, and wireless fidelity to measurement, home automation, and telecommunication network reliability. In the introductory section, the article looks at customer experience and the role it plays in home network management. Here, the author presents the growing importance of customer experience and how operators of modern home networks are continually investing in ensuring it is improved in both the short and the long terms. This introduction acts as the background through which quality of experience and quality of service are introduced. Abbreviated as QoE and QoS, quality of experience and quality of service have been employed in analyzing the gap that exists therein and the impact it has on customer experience. According to the authors of this article, QoS network metrics that have been collected remotely are rich grounds through which an inferring QoE framework can be designed and put into use in home networks (Ligata, et al. 190).

The methodology in the study within the extract focuses on video services – the YouTube application - in the analysis of indoor network traffic. The dataset within the study was shaped up by application and network QoS parameters which were obtained under varying conditions of interference, coverage, contention, and network overload. Predictive modeling was employed in analyzing the datasets and building unique QoE classes. At the end of the research, the researchers found that their proposed framework was able to achieve accuracy ranging from between 84 to 96 percent and this was dependent on the QoE class in use. The study demonstrated the potential and effectiveness in a new approach – one that focuses on improving customer experience based on QoE as opposed to excessively investing in QoS (Ligata, et al. 194).

Authored by Benoit Geller, Liang Zhou, Jingwu Cui, Baoyu Zheng, and Anne Wei, Joint Routing and Rate Control Scheme for Multi-Stream High-Definition Video Transmission over Wireless Home Networks is published in the 52nd volume of The Computer Journal. The focus of this extract is routing control, wireless home networks, high-definition video, and rate control. The entire journal extract is designed to look into the transmission of high-definition video in light of rate and routing control. According to the authors, it is important to have effective rate and routing control measures to support multiple high-definition streaming involving different videos within the home network arena. Such control is important as it provides grounds through which reasonable links necessary for transmitting streams and desired video rates is achieved. The main aim of the study in the journal extract is to present and explore a unique combination of rate and routing control. This combination acts as grounds through which an effectively distributed joint solution and united convex formulation for optimization are achieved across a cross-layer design. This is achieved through developing a unique distortion model. The model not only captures the nature and level of packet loss birthed from overall video quality and network congestion, but also the impact and significance of encoder quantization. In the end, the routing scheme and optimal joint rate are achieved through unique adaptations to minimization of overall network congestion and the rate presented in time-varying traffic. There are simulation results provided at the end which not only identify but also explore the effectiveness of rate control scheme and proposed joint routing within the wireless home networks context (Zhou, et al. 955).

Authored by Fraida Fund, Caleb Smith-Salzberg and Shivendra Panwar, Bridging the digital divide between research and home networks is designed to look at variability presented between research networks and home networks. Published in the 2017 IEEE Conference on Computer Communications Workshops, this journal extract looks into the digital divide and how it has affected internet service plans within the United States. Here, the research focuses on affordability and quality in light of analyzing the various internet service plans. Most homes within the United States are presented as lacking high-speed internet or the ability to install and continually subscribe to high-speed internet. The section of people of people who are labeled as researchers have a unique characteristic; they have either industry or university internet connections that are high quality in nature. Such connections ensure they can attend to their network protocols and network services effectively. The disparity between the researchers and home networks is presented as constantly growing and essential to address. It is important to address the digital divide as it acts as grounds through which home users’ experiences will be made better in both the short and the long terms. Growing the number of home internet users is important in more ways than one. Home internet users account for a great section of the internet users in the United States and improving their experience is important in growing the internet industry in the country (Smith-Salzberg, et al. 18).

 Works Cited

Ligata, Amir, et al. "Quality of Experience Inference for Video Services in Home WiFi Networks." IEEE Communications, vol. 56, no. 3, 3 Mar. 2018, pp. 187-193.

Smith-Salzberg, Caleb, et al. "Bridging the digital divide between research and home networks." 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), vol. 53, no. 3, 4 May 2017, pp. 17-29.

Zhou, Liang, et al. "Joint Routing and Rate Control Scheme for Multi-Stream High-Definition Video Transmission over Wireless Home Networks." The Computer Journal, vol. 52, no. 8, 1 Nov. 2009, pp. 950-959.