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

Abstract

Abstract-Transmitting large packets over wireless networks helps to reduce header overhead, but may have 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. In this paper, we study the effect of packet size on loss rate and delay characteristics in a wireless real-time application. We derive 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.

Congestion control in wireless links based on selective delivery of erroneous packets

“…In fact, the MAC Lite streams consume significantly smaller proportion of the bottleneck channel capacity than the conventional stream after the convergence phase, since they can avoid most of the MAC layer retransmissions. Readers interested in more detailed analysis of the relationship between checksum coverage and the amount of derived retransmission traffic may refer to studies about packet size optimization [32,33]. In Figure 7, the average goodput is shown in different cases, when n=5.…”

“…Typically, some level of FEC is employed to correct individual bit errors and short error bursts, whereas more extensive clusters of errors not correctable by FEC are recovered by retransmitting the damaged packets. Usually, retransmissions at the lower layers hide efficiently all the errors in the physical transmission channel from the upper layers, even without introducing very large observable retransmission delay [14]. This is one of the main reasons why UDP Lite has gained little popularity in practical systems [15].…”

Mathematic Models for Quality of Service Purposes in Ad Hoc Networks

“…Thus, this model may be compatible only with networks with more disturbance according to extra delay affected, eventually, by space conditions and bit errors occurring in nodes (Amine et al, 2009;Korhonen & Wang, 2005). Simulations show that this approach, until it returns numerous paths according to different QoS preferences, gives effectively more choice to the user in the routing process.…”

Fuzzy Based Flow Management of Real-Time Traffic for Quality of Service in WLANs

“…Chan et al (2001) apply fuzzy set theory to employ decision criteria such as user preferences, link quality, cost, or quality of service (QoS) for handover decision scheme. Korhonen & Wang (2005) have studied the effect of packet size on loss rate and delay in IEEE 802.11 based WLAN. The analysis shows that there is a straightforward connection between bit error characteristics and observed delay characteristics.…”