DocumentCode :
3376665
Title :
Performance Analysis of a Non-Overlapping Binary Exponential Backoff Algorithm over IEEE 802.15.4
Author :
Lee, Seung-Youn ; Shin, Youn-Soon ; Ahn, Jong-Suk ; Lee, Kang-Woo
Author_Institution :
Dept. of Comput. Eng., Dongguk Univ., Seoul, South Korea
fYear :
2009
fDate :
20-22 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
This paper introduces a performance model of a recently proposed backoff technique named NO-BEB (non-overlapping binary exponential backoff) algorithm over IEEE 802.15.4, which is designed for LR-WPAN (low rate wireless personal area networks). To lessen the collision rate in highly populated wireless networks, NO-BEB tries to evenly distribute the random backoff delay by distinguishing the new range of backoff delays from the previous one according to data delivery failure counts. With this technique, nodes with different failure counts are more probable to pick up distinct backoff delays. For the performance measurement of NO-BEB algorithm, our performance model embeds the behavior of NO-BEB into the traditional model of IEEE 802.15.4. Our numerical analyses show that NO-BEB improves the throughput and transmission delay by up to 39% and 16% maximally, respectively, comparing to the traditional BEB.
Keywords :
personal area networks; telecommunication congestion control; telecommunication standards; IEEE 802.15.4 standard; collision rate; data delivery failure counts; low rate wireless personal area networks; non-overlapping binary exponential backoff algorithm; random backoff delay; Algorithm design and analysis; Computer networks; Counting circuits; Delay estimation; Design engineering; Measurement; Numerical analysis; Performance analysis; Throughput; Wireless personal area networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Information Technologies & Applications, 2009. ICUT '09. Proceedings of the 4th International Conference on
Conference_Location :
Fukuoka
ISSN :
1976-0035
Print_ISBN :
978-1-4244-5131-9
Type :
conf
DOI :
10.1109/ICUT.2009.5405718
Filename :
5405718
Link To Document :
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