Effect of packet size on loss rate and delay in wireless links

Transmitting large packets over wireless networks helps to reduce header overhead, but may have an adverse effect on loss rate due to corruptions in a radio link. Packet loss in lower layers, however, is typically hidden from the upper protocol layers by link or MAC layer protocols. For this reason, errors in the physical layer are observed by the application as higher variance in end-to-end delay rather than increased packet loss rate. We study the effect of packet size on loss rate and delay characteristics in a wireless real-time application. We derive an analytical model for the dependency between packet length and delay characteristics. We validate our theoretical analysis through experiments in an ad hoc network using WLAN technologies. We show that careful design of packetization schemes in the application layer may significantly improve radio link resource utilization in delay sensitive media streaming under difficult wireless network conditions.

[1]  Pamela C. Cosman,et al.  End-to-end differentiation of congestion and wireless losses , 2003, TNET.

[2]  Thomas Wiegand,et al.  Video coding and transport layer techniques for H.264/AVC-based transmission over packet-lossy networks , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[3]  Nitin H. Vaidya,et al.  Discriminating congestion losses from wireless losses using inter-arrival times at the receiver , 1999, Proceedings 1999 IEEE Symposium on Application-Specific Systems and Software Engineering and Technology. ASSET'99 (Cat. No.PR00122).

[4]  Rajiv Chakravorty,et al.  Performance issues with general packet radio service , 2002, Journal of Communications and Networks.

[5]  Eytan Modiano,et al.  An adaptive algorithm for optimizing the packet size used in wireless ARQ protocols , 1999, Wirel. Networks.

[6]  Ramón Agüero,et al.  Behavior of UDP-based applications over IEEE 802.11 wireless networks , 2001, 12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598).

[7]  Yang-Han Lee,et al.  PLFC: the packet length fuzzy controller to improve the performance of WLAN under the interference of microwave oven , 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).

[8]  Mani B. Srivastava,et al.  Adaptive radio for multimedia wireless links , 1999, IEEE J. Sel. Areas Commun..

[9]  D. J. Goodman,et al.  Packet data transmission over mobile radio channels , 1989 .

[10]  L. H.,et al.  Communication Networks , 1936, Nature.

[11]  E. O. Elliott Estimates of error rates for codes on burst-noise channels , 1963 .

[12]  Mani B. Srivastava,et al.  Adaptive frame length control for improving wireless link throughput, range, and energy efficiency , 1998, Proceedings. IEEE INFOCOM '98, the Conference on Computer Communications. Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies. Gateway to the 21st Century (Cat. No.98.

[13]  Yoshito Tobe,et al.  Achieving moderate fairness for UDP flows by path-status classification , 2000, Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000.

[14]  Mohsen Sarraf,et al.  Effect of slot size on TDMA performance in presence of per slot overhead , 1989, IEEE Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond.

[15]  Jari Korhonen Error robustness scheme for perceptually coded audio based on interframe shuffling of samples , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[16]  Dharma P. Agrawal,et al.  Optimal packet size in error-prone channel for IEEE 802.11 distributed coordination function , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[17]  Andrei V. Gurtov,et al.  Measured performance of GSM, HSCSD and GPRS , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[18]  Andreas Willig,et al.  Chaotic maps as parsimonious bit error models of wireless channels , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[19]  Johan Garcia,et al.  Checksum-based loss differentiation , 2002, 4th International Workshop on Mobile and Wireless Communications Network.