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Publication Type : Journal Article
Publisher : Procedia Computer Science
Source : Procedia Computer Science, Elsevier, Volume 52, Number 1, p.90-97 (2015)
Keywords : Bandwidth, Delay sensitive, Delay sensitive traffic, Delay-sensitive services, Dynamic bandwidth allocation, Frequency allocation, Internet, Internet of things, Internet of Things (IOT), Motion Picture Experts Group standards, Probabilistic prediction, Quality of service, Queue lengths, Queue management, Queueing theory, Scheduling, Service differentiation
Campus : Bengaluru
School : School of Engineering
Department : Electronics and Communication
Year : 2015
Abstract : This paper proposes a probabilistic prediction based approach for providing Quality of Service (QoS) to delay sensitive traffic for Internet of Things (IoT). A joint packet scheduling and dynamic bandwidth allocation scheme is proposed to provide service differentiation and preferential treatment to delay sensitive traffic. The scheduler focuses on reducing the waiting time of high priority delay sensitive services in the queue and simultaneously keeping the waiting time of other services within tolerable limits. The scheme uses the difference in probability of average queue length of high priority packets at previous cycle and current cycle to determine the probability of average weight required in the current cycle. This offers optimized bandwidth allocation to all the services by avoiding distribution of excess resources for high priority services and yet guaranteeing the services for it. The performance of the algorithm is investigated using MPEG-4 traffic traces under different system loading. The results show the improved performance with respect to waiting time for scheduling high priority packets and simultaneously keeping tolerable limits for waiting time and packet loss for other services. © 2015 The Authors. Published by Elsevier B.V.
Cite this Research Publication : R. Sharma, Dr. Navin Kumar, Gowda, N. B., and Srinivas, T., “Probabilistic prediction based scheduling for delay sensitive traffic in internet of things”, in Procedia Computer Science, 2015, vol. 52, pp. 90-97.