DocumentCode :
3124994
Title :
The case for using traffic forecasting in schedule-based channel access
Author :
Petkov, Vladislav ; Obraczka, Katia
Author_Institution :
Sch. of Eng., Univ. of California, Santa Cruz, CA, USA
fYear :
2011
fDate :
9-12 Jan. 2011
Firstpage :
208
Lastpage :
212
Abstract :
In this paper, we explore the idea of using traffic forecasting to improve the delay performance of a schedule-based medium access control protocol. Schedule-based channel access has been shown to utilize network and energy resources efficiently but is often hindered by the extra delay that scheduling introduces. We explore the use of traffic forecasting to anticipate transmission schedules instead of establishing them reactively, thereby reducing scheduling delays. We show the potential performance benefits traffic forecasting can bring to schedule-based medium access in the context of an existing MAC protocol called DYNAMMA. Preliminary results using a machine-learning based traffic forecasting technique are also presented.
Keywords :
access protocols; delays; learning (artificial intelligence); scheduling; telecommunication computing; telecommunication traffic; wireless channels; DYNAMMA; MAC protocol; delay performance; machine-learning based traffic forecasting technique; schedule- based medium access control protocol; schedule-based channel access; Delay; Forecasting; IEEE 802.11 Standards; Media Access Protocol; Quality of service; Schedules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2011 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8789-9
Type :
conf
DOI :
10.1109/CCNC.2011.5766456
Filename :
5766456
Link To Document :
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