Enhanced QoS Through Optimized Architecture for Video Streaming Applications in Heterogeneous Networks

Duraimurugan, S.; Avudaiammal, R.; Vincent, Pascal

doi:10.1007/s11277-021-08109-8

Cited by 4 publications

(1 citation statement)

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“…Duraimurugan et al [4] presented a novel architecture for heterogeneous networks in which they advise improving functions at the server-side to boost QoS. In terms of QoS criteria such as latency, delivery ratio, and throughput for various data rates and buffer sizes, the suggested design is compared to the current architecture.…”

Section: Related Workmentioning

confidence: 99%

Realistic Vertical Handoff Predictive Trigger Thresholding in Heterogeneous Networks

Rahate¹,

Chopade²

2022

ISI

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The contemporary wireless networks exhibit heterogeneity, i.e., different types of wireless networks co-exist and fulfill the user's needs. Users amongst the available networks prefer the Wi-Fi and 4G networks. Wi-Fi is a choice for homes and offices for limited coverage and high data rate. While for outdoor, 4G is a better choice due to broader coverage and reasonably better average data rates. As user mobility is high nowadays, smooth session transfer is essential amongst such heterogeneous networks to provide seamless connectivity with the best QoS. Currently, video real-time application traffic is in high demand. This paper investigates the heterogeneous /vertical handover performance for realistic traffic and terminal speeds based on the MIH framework. The MIH is IEEE 802.21 standard to maintain the service continuity amongst heterogeneous networks. The primary focus of this paper is to derive the thresholds for speeds and the link layer predictive triggers. These thresholds are helpful in the design of the algorithms to enhance the QoS and user experience. Further, to understand the limitations of the said standard for a given scenario. The packet loss ratio and handover latency are the QoS parameters. The detailed simulations are carried out in NS-2 by considering a realistic scenario of terminal speeds and application traffic (MPEG-4, H.261, and HDTV). The networks chosen for the analysis are Wi-Fi and 4G. The packet loss ratio and handover latency are considered QoS parameters. For the accuracy of results, simulation time is varied as per the user's speed. We derived predictive trigger and speed thresholds critically examined for the given application traffic.

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Section: Related Workmentioning

confidence: 99%