DocumentCode :
1171839
Title :
An accurate and scalable analytical model for IEEE 802.15.4 slotted CSMA/CA networks
Author :
He, Jianhua ; Tang, Zuoyin ; Chen, Hsiao-Hwa ; Zhang, Qian
Author_Institution :
Inst. of Adv. Telecommun., Swansea Univ., Swansea
Volume :
8
Issue :
1
fYear :
2009
Firstpage :
440
Lastpage :
448
Abstract :
In this paper a Markov chain based analytical model is proposed to evaluate the slotted CSMA/CA algorithm specified in the MAC layer of IEEE 802.15.4 standard. The analytical model consists of two two-dimensional Markov chains, used to model the state transition of an 802.15.4 device, during the periods of a transmission and between two consecutive frame transmissions, respectively. By introducing the two Markov chains a small number of Markov states are required and the scalability of the analytical model is improved. The analytical model is used to investigate the impact of the CSMA/CA parameters, the number of contending devices, and the data frame size on the network performance in terms of throughput and energy efficiency. It is shown by simulations that the proposed analytical model can accurately predict the performance of slotted CSMA/CA algorithm for uplink, downlink and bi-direction traffic, with both acknowledgement and non-acknowledgement modes.
Keywords :
Markov processes; carrier sense multiple access; personal area networks; telecommunication traffic; CSMA-CA networks; IEEE 802.15.4; MAC layer; Markov chain; bi-direction traffic; downlink traffic; energy efficiency; scalable analytical model; throughput efficiency; uplink traffic; Analytical models; Bidirectional control; Downlink; Energy efficiency; Multiaccess communication; Predictive models; Scalability; Telecommunication traffic; Throughput; Traffic control; IEEE 802.15.4; MAC; Markov chain; ZigBee; slotted CSMA/CA; wireless personal area network;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/T-WC.2009.080277
Filename :
4786525
Link To Document :
بازگشت