Adaptive Header Compression Algorithm in Narrow Band Internet of Things

As an Internet of Things (IOT) network to realize the Internet of Everything, Narrowband Internet of Things (NB- IoT) is widely applied in large-scale small data services, such as meter reading and streetlamp control. Currently, NB-IoT protocols are carried by complete IP, realize network transmission by using the TCP/UDP transport protocols, and implement header compression through robust header compression (ROHC). The two-way reliable R, two-way optimization O, and one-way U modes of the ROHC algorithm have the drawbacks of a high feedback cost, dependence of the feedback effect on the network quality, and desynchronization of decompressor. Therefore, an optimized Markov chain prediction model was added to the U mode of ROHC, and an adaptive header compression algorithm (ROHC-M), which could adjust the state of compression according to the channel conditions, was developed. Compared with the one-way mode algorithm, the proposed ROHC-M algorithm decreased the header size by 0.96 bytes on average and increased the throughput by 10%.