Probabilistic Prediction based Scheduling for Delay Sensitive Traffic in Internet of Things

Sharma, Reema and Kumar, Navin and Gowda, Namratha B and Srinivas, T (2015) Probabilistic Prediction based Scheduling for Delay Sensitive Traffic in Internet of Things. In: 6th International Conference on Ambient Systems, Networks and Technologies (ANT) / 5th International Conference on Sustainable Energy Information Technology (SEIT), JUN 02-05, 2015, London, ENGLAND, pp. 82-89.

PDF 6th_Int_Con_on_Amb_Sys_Net_and_Tec_52_82_2015.pdf - Published Version Restricted to Registered users only Download (362kB) | Request a copy

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. Crown Copyright (C) 2015 Published by Elsevier B.V.

Item Type:	Conference Proceedings
Series.:	Procedia Computer Science
Publisher:	ELSEVIER SCIENCE BV
Additional Information:	Copy right for this article belongs to the ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Keywords:	Internet of Things; Service Differentiation; Queue Length; QoS; Queue Management; Delay Sensitive
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	30 Oct 2015 07:25
Last Modified:	30 Oct 2015 07:25
URI:	http://eprints.iisc.ac.in/id/eprint/52610

Actions (login required)

View Item