Modular Redundancy for Cloud based IMS Robustness

Raza, Muhammad Taqi; Tseng, Hsiao-Yun; Li, Changlong; Lu, Songwu

doi:10.1145/3132062.3132064

Cited by 6 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The simulation results showed that HRSRT performs better in terms of overall energy cost. Modular redundancy for cloud based IP multimedia subsystem (IMS) robustness was explored by Raza et al [15] . IMS is an emerging communication framework that provides a wide range of multimedia services such as video over LTE, interactive gaming in active LTE network.…”

Section: Related Workmentioning

confidence: 99%

Development of Recovery and Redundancy Model for Real Time Wireless Networks

Alese¹,

Kuboye

Alabede

2022

j. of Comput. sci. res.

View full text Add to dashboard Cite

The growth in wireless technologies applications makes the necessity of providing a reliable communication over wireless networks become obvious. Guaranteeing real time communication in wireless medium poses a significant challenge due to its poor delivery reliability. In this study, a recovery and redundancy model based on sequential time division multiple access (S-TDMA) for wireless communication is developed. The media access control (MAC) layer of the S-TDMA determines which station should transmit at a given time slot based on channel state of the station. Simulations of the system models were carried out using MATLAB SIMULINK software. SIMULINK blocks from the signal processing and communication block sets were used to model the communication system. The S-TDMA performance is evaluated with total link reliability, system throughput, average probability of correct delivery before deadline and system latency. The evaluation results displayed in graphs when compared with instant retry and drop of frame were found to be reliable in recovering loss packets.

show abstract

Section: Related Workmentioning

confidence: 99%