DocumentCode :
2175113
Title :
Performance Evaluation of an Adaptive Congestion Avoidance Algorithm for IEEE 802.15.4
Author :
Noh, Ki-Chul ; Lee, Seung-Yeon ; Shin, Youn-Soon ; Lee, Kang-Woo ; Ahn, Jong-Suk
Author_Institution :
Dept. of Inf. Commun. Eng., Dongguk Univ., Seoul, South Korea
fYear :
2010
fDate :
11-13 Dec. 2010
Firstpage :
14
Lastpage :
19
Abstract :
Like most wireless network protocols, IEEE 802.15.4 adopts a CA (Congestion Avoidance) algorithm to avoid early collisions of new frames by randomizing its first transmission delay instead of delivering them immediately. The traditional CA scheme of IEEE 802.15.4 selects its random access time from the predetermined range without considering the degree of underlying network congestion. This static behavior often incurs a long delay to settle in the suitable range for the current network load or frequent clashes especially when heavy traffic lasts long. This paper proposes an ACA (Adaptive Congestion Avoidance) algorithm which dynamically adjusts the initial back off range according to the measurement of the average collision rate. It also introduces an analytical model to predict the performance spectrum in which ACA algorithm´s throughput falls. With only small deviations from corresponding simulations, our model shows that ACA scheme can improve the throughput of IEEE 802.15.4 by up-to 41% while shortening the frame delays.
Keywords :
Markov processes; telecommunication congestion control; telecommunication standards; wireless channels; IEEE 802.15.4; adaptive congestion avoidance algorithm; back off range; wireless network protocols; Algorithm design and analysis; Delay; Equations; Heuristic algorithms; Mathematical model; Prediction algorithms; Throughput; BEB algorithm; CA algorithm; IEEE 802.15.4; Marchov chain performance model; adaptive CA algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2010 IEEE 13th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-9591-7
Electronic_ISBN :
978-0-7695-4323-9
Type :
conf
DOI :
10.1109/CSE.2010.12
Filename :
5692451
Link To Document :
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