DocumentCode
2716920
Title
Prediction-Based Link-Layer Dynamic Fragmentation and Aggregation for Wireless Mesh Networks
Author
Zhang, Lei ; Yang, Shoubao ; Wang, Gaofeng ; Dong, Wanli
Author_Institution
Sch. of Comput. Sci. & Technol., Southwest Univ. of Sci. & Technol., Mianyang
Volume
2
fYear
2008
fDate
3-4 Aug. 2008
Firstpage
582
Lastpage
586
Abstract
Packet retransmissions due to packet losses reduce transmission performance in wireless networks obviously. Multi-hop wireless networks suffer from packet losses more than one-hop wireless networks. High bit-error rate of wireless channel and frequent channel collision due to shared channel are the most important ingredients of packet loss in multi-hop wireless networks. When bit error rate is between 10-3~10-4, fragment size control is efficient to enhance transmission performance. After analyzing the packet loss reason in wireless mesh networks, a prediction-based link-layer dynamic frame fragmentation and aggregation scheme called PDFA is proposed for 802.11-based wireless mesh networks. The size of sending fragment is optimized based on the prediction of channel BER. Simulation experiments validate that PDFA enhances transmission performance in wireless mesh networks efficiently.
Keywords
error statistics; packet radio networks; telecommunication network topology; wireless LAN; wireless channels; bit error rate; channel collision; multihop wireless networks; packet losses; packet retransmissions; prediction-based link-layer dynamic aggregation; prediction-based link-layer dynamic fragmentation; wireless channel; wireless mesh networks; Bit error rate; Communication system control; Computer network management; Computer networks; Interference; Spread spectrum communication; Thermal management; Wireless LAN; Wireless mesh networks; Wireless networks; BER; aggregation; fragmetation; wireless mesh network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3290-5
Type
conf
DOI
10.1109/CCCM.2008.279
Filename
4609753
Link To Document