Adaptive Header Compression for Wireless Networks

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Adaptive Header Compression for Wireless Networks Adaptive Header Compression for Wireless Networks Changli Jiao Loren Schwiebert Golden Richard Dept. of Elec. and Computer Eng. Dept. of Computer Science Dept. of Computer Science Wayne State University Wayne State University University of New Orleans Detroit, MI 48202 Detroit, MI 48202 New Orleans, LA 70148 Email: [email protected] Email: [email protected] Email: [email protected] Abstract is called error propagation. When the packet error rate is TCP/IP header compression has long been used to send high, e.g., over a wireless channel, this might also result in information efficiently and to improve the response time of senders not receiving ACKs, which is assumed as network communication systems. It is also well known that errors congestion and which deteriorates TCP performance [2]. on the link where header compression is used can dete- In order to solve this problem, the ”twice” algorithm [2] riorate the performance. In addition, the recently noticed was designed to repair the desynchronization. When a high frequency of some computer networking problems can packet cannot be decompressed correctly, it is assumed that make the performance of header compression even worse. one or more previous packets, which carry the same delta These problems include packet reordering and packet er- values, are lost. The decompressor will apply these values rors that avoid link layer error detection. In this paper, we two or more times. If the result can pass the TCP check- analyze the influence of these problems on existing header sum, the packet is considered as correctly decompressed. compression algorithms. We also propose an adaptive The twice algorithm improves the performance of header header compression that gives better performance. compression in certain circumstances. Window based LSB [3] is an encoding method for delta 1 Previous Work values. If the compressor can ensure that the decompres- Van Jacobson proposed a TCP/IP header compression sor has received a group of packets, it can then transfer algorithm [5] for low-speed links. TCP/IP packets with the delta values as the differences from that of the group, compressed headers normally traverse a single link, with a which are expected to occupy fewer bits. TCP Aware RO- compressor on one side and a decompressor on the other. bust Header Compression (TAROC) [4] uses the sliding The idea is to avoid transferring redundant information window of the TCP sender to decide which packets have whenever possible. The decompressor should use infor- already been received. A new packet cannot be transferred mation already known to recover the headers. The TCP/IP without getting all the acknowledgments for the previous header fields can be divided into several groups. Constant window. Hence, the compressor tracks the size of the slid- fields, which usually do not change during the lifetime of ing window according to the arriving sequence of packets. a connection, can be eliminated from most packets. In- stead, a unique value, the Compression Identifier (CID), is 2 New Challenges assigned and added to the packet header to identify these Packet reordering, due to packets of one connection fol- fields. Inferable fields can be inferred from other fields lowing different paths, may seem uncommon. Bennett et and need not be transferred. Delta fields are expected to al. showed that reordering is not necessarily a rare occur- change only slightly from the previous packet. These fields rence in the Internet [1]. Even when a consistent path is are transferred using only the differences, which can be ex- chosen, the existence of multiple paths between routing pressed with fewer bits and are referred to as ”delta” val- neighbors, or within the data path of a single router, can ues. Random fields are transferred without change. cause packet reordering. Some header compression algo- Correctly decompressed packets refresh the information rithms are thus challenged since they assume that the pack- on the decompressor side, based on which following pack- ets arrive in order or with minor reordering. ets can be recovered. A corrupted packet is dropped and Cyclic Redundancy Check (CRC) is very powerful in makes the decompressor desynchronized. Thus, subse- error detection and is the usual error detection method quent packets received by the decompressor may also be used in the link layer. TCP/UDP checksum was thus ar- dropped even though they are transmitted correctly, which gued as unnecessary. But both experiment and tracing ¡ This material is based upon work supported by the National Science analysis have shown that there are a wide variety of error Foundation under Grant No. 0086020. sources which cannot be detected by link-level CRCs [8]. In TCP/UDP, these errors can be detected only by Internet will potentially make the decompressor work incorrectly. checksum [6] [7]. The error detection performance should We define error masking probability as the probability be analyzed for header compression algorithms. that errors passing link layer CRC are not detected by the TCP checksum and thus passed to a higher layer. Error 3 Header Compression Performance masking probability of VJ header compression needs fur- Both VJ and twice compression algorithm prohibit neg- ther consideration. But it is clear that the error masking ative delta values, since these packets could be sent due probability of the twice algorithm is higher than that of to the desynchronization. Full headers are sent to re- VJ compression. If the delta values are applied once and fresh the decompressor, but packet reordering also triggers the TCP checksum is not correct, the actual reason may this. This introduces errors on estimating compression ef- be some errors in the data payload or other bytes in the ficiency, which increases with more reordering. The error header of the packet. The more times the delta value is on the estimate also increases with the compression ratio. applied or the more educated guesses for the acknowledg- A packet error means that packets cannot be decom- ment stream [2], the more likely that an error can be passed pressed, which includes physically corrupted ones as well to the layer above TCP. as uncorrupted packets influenced by error propagation. Assume every bit has the same probability to be corrupted 4 Adaptive Header Compression and any error will be detected by the error detection mech- We propose an adaptive header compression algorithm. anism. Also assume all original packet lengths are ¢¡¤£ Define a semi-compressed packet as one with all header ¡§¦ fields compressed except delta fields. Define two variables, bytes, compressed are ¥ bytes. In order to get Figure 1, we also make a random selection on when a full header windowSize and distance. The delta fields are coded us- packet will be sent by the compressor. For the VJ algo- ing Window based LSB based on the previous windowSize rithm, packet error probability increases almost linearly packets. After every distance compressed packets, a semi- until a full header packet is received. If packets are of the compressed packets is sent. The value of windowSize and distance are determined by the average BER of the link and VJ header compression 1.2 twice header compression the average packet size. The higher the BER, the bigger TAROC header compression without header compression the windowSize and the smaller the distance. Conversely, 1 the lower the BER, the smaller the windowSize and the 0.8 bigger the distance. By changing these two variables, we 0.6 can make the packet error probability less than that with- 0.4 out header compression. In this way, the channel usage probability of packet not delivered to the upper layer 0.2 and TCP performance can be improved. A wireless chan- nel is usually modeled as in good and bad states follow- 0 10 20 30 40 50 60 70 80 90 100 packet transferred on the link ing a Markov chain. If we can get some indications as the ¡ wireless channel is in bad state, a semi-compressed packet Figure 1: Packet error prob. comparison, ¨ © should be sent immediately after this to refresh the decom- same size and there is no reordering/loss before the com- pressor, which also lowers the packet error probability. pressor, the twice algorithm always recovers the loss on the link between the compressor and decompressor. But, References even for applications with same length packets, reordering [1] J. Bennett, C. Partridge, and N. Schectman. Packet reordering is not pathological network behavior, 1999. makes delta values irregular, which causes the twice al- [2] M. Degermark, M. Engan, B. Nordgren, and S. Pink. Low-loss gorithm to not perform well. When applying delta values TCP/IP header compression for wireless networks. In MobiCom, multiple times can not decompress the packet, the error 1996. probability increases almost linearly just as in VJ header [3] C. Bormann (ed.) et al. RObust Header Compression (ROHC). In- compression. If the algorithm can decompress a subse- ternet Draft (work in progress) draft-ietf-rohc-rtp-09.txt, Internet En- gineering Task Force, February 2001. quent packet, the error probability will become low again. [4] H. Liao et al. TCP-Aware RObust Header Compression (TAROC). Otherwise, the probability can drop only when a packet Internet Draft (work in progress) draft-ietf-rohc-tcp-taroc-01.txt, In- with a full header is received by the decompressor. The- ternet Engineering Task Force, March 2001. oretically, TAROC will work perfectly if the compressor [5] V. Jacobson. IP headers for low-speed serial links. RFC 1144, Inter- knows when the sender changes the window size, which net Engineering Task Force, February 1990. [6] J. Postel. Transmission Control Protocol. RFC 793, Internet Engi- is not an easy task. TAROC uses the packet arrival se- neering Task Force, September 1981. quence as the window size indication.
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