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Markov chain based priority queueing model for packet scheduling and bandwidth allocation

Sharma, R and Kumar, N and Srinivas, T (2017) Markov chain based priority queueing model for packet scheduling and bandwidth allocation. In: 1st International Conference on Ubiquitous Communications and Network Computing, UBICNET 2017, 3 - 5 August 2017, Bangalore, pp. 91-103.

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Official URL: https://doi.org/10.1007/978-3-319-73423-1_9


This paper considers classification of diverse traffic types in Internet of Things (IoT) based on importance of data rate, packet size and proposes a priority-based probabilistic packet scheduling strategy for efficient packet transmission. Reduction of peak resource usage, dynamic control of service rate corresponding to arrival rate and QoS buffer management are few main factors considered to develop this strategy. By calculating percentage of link bandwidth required for prioritized traffic in each cycle, we provide quality of service (QoS) to real time traffic in IoT and non-IoT applications. Different experiments including MPEG traffic traces and Poisson traffic are conducted to verify the proposed scheduler. Also, performance of scheduler for both IoT and Non-IoT applications is compared for different data rates. We observe that the proposed packet scheduler satisfies QoS requirements for both IoT and non-IoT traffic.

Item Type: Conference Paper
Publication: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Publisher: Springer Verlag
Additional Information: The copyright for this article belongs to Springer Verlag.
Keywords: Bandwidth; Markov processes; Motion Picture Experts Group standards; Quality of service; Queueing theory; Scheduling; Scheduling algorithms; Ubiquitous computing, Average queue lengths; Delay-sensitive applications; Internet of Things (IOT); Packet scheduling algorithm; Packet transmissions; Prioritized traffics; Real time traffics; Service differentiation, Internet of things
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 03 Aug 2022 08:43
Last Modified: 03 Aug 2022 08:43
URI: https://eprints.iisc.ac.in/id/eprint/75235

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