DocumentCode
717966
Title
Interarrival time distribution of IEEE 802.15.4 under saturated traffic condition
Author
Mehr, Kamal Adli ; Nobar, Sina Khoshabi ; Niya, Javad Musevi
Author_Institution
Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
fYear
2015
fDate
10-14 May 2015
Firstpage
207
Lastpage
212
Abstract
IEEE 802.15.4 is an industry standard for wireless sensor networks (WSNs) and wireless personal area networks (WPANs). This standard specifies the medium access control (MAC) and physical (PHY) layers of the OSI reference model. This paper analyzes the carrier sensing multiple access (CSMA) mechanism of the MAC layer of IEEE 802.15.4. It especially focuses on the distribution of interarrival time, which is a critical network performance metric to analyze network queue model and anomaly detection in the network. A simple but accurate analytic model is developed in order to derive the distribution of interarrival time. The analytic model deploys a discrete time Markov chain to model the behavior of network nodes. Extensive simulations are performed, using ns-2 simulator, to validate the developed analytic model. Simulation results are in good agreement with analytic results.
Keywords
Markov processes; Zigbee; carrier sense multiple access; telecommunication traffic; wireless sensor networks; CSMA mechanism; IEEE 802.15.4 networks; MAC layers; OSI reference model; PHY layers; WPAN; WSN; carrier sensing multiple access; discrete time Markov chain; interarrival time distribution; medium access control; network anomaly detection; network queue model; ns-2 simulator; physical layers; saturated traffic condition; wireless personal area network; wireless sensor networks; Conferences; Decision support systems; Electrical engineering; IEEE 802.15.4; MAC layer; Markov model; interarrival time distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2015 23rd Iranian Conference on
Conference_Location
Tehran
Print_ISBN
978-1-4799-1971-0
Type
conf
DOI
10.1109/IranianCEE.2015.7146211
Filename
7146211
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