DocumentCode
2348743
Title
Empirical evaluation of adapting IEEE 802.15.4 contention windows for maximum performance
Author
Monsalve, Alvaro ; Cardell-Oliver, Rachel ; Datta, Amitava ; Huebner, Christof
Author_Institution
Univ. of Western Australia, Perth, WA, Australia
fYear
2012
fDate
9-12 Sept. 2012
Firstpage
260
Lastpage
265
Abstract
The IEEE 802.15.4 standard specifies the most recommended medium access control (MAC) protocol for Wireless Sensor Networks (WSNs). The contention-based access scheme of the MAC is driven by a Carrier Sense Multiple Access with Collision Avoidance (CSMA-CA) algorithm. In this paper, we evaluate the performance of the CSMA-CA algorithm for indoor WSNs by using an experimental testbed. We set up trials to test the default parameters of the IEEE 802.15.4 for saturated and unsaturated conditions of arriving packets. In particular, we demonstrate that the experimental results accurately match the predictions of an analytical model for the CSMA-CA algorithm, though the latter assumes ideal transmission over the wireless medium. Finally, we show that data delivery ratio and throughput could be improved by opting during the contention for different window sizes compared to the default values of the standard specification.
Keywords
Zigbee; access protocols; carrier sense multiple access; indoor radio; wireless sensor networks; CSMA-CA algorithm; IEEE 802.15.4 contention windows; MAC protocol; carrier sense multiple access; collision avoidance algorithm; contention-based access scheme; indoor WSN; medium access control protocol; wireless sensor networks; IEEE 802.15 Standards; Measurement; Media Access Protocol; Throughput; Wireless communication; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on
Conference_Location
Sydney, NSW
ISSN
2166-9570
Print_ISBN
978-1-4673-2566-0
Electronic_ISBN
2166-9570
Type
conf
DOI
10.1109/PIMRC.2012.6362793
Filename
6362793
Link To Document