Reed-Solomon Coding Based Bundle Streaming Service(BSS) Efficient Transmission

As an increasing number of satellites and space probes launched into deep space,as well as the various demands of manned space missions,the prospect of multimedia services in deep space such as real-time videos looms.Bundle Streaming Service(BSS)protocol was proposed in 2013 as a promising architecture for deep space streaming data delivery thanks to its forwarding strategy and the full exploitation of delay/disruption tolerant(DTN)framework.However,for the lack of recovery strategies of lost data,performing high quality data streaming transmission by BSS may be an arduous task due to the high bit error rates and gigantic expense of retransmission in deep space.This paper integrates the erasure code into the BSS transmission scheme in an attempt to improve the quality of real-time transmission and to reduce the retransmission times by restoring the lost data at the receiving end.After comprehensively analyzing the advantages and disadvantages of integrating erasure codes at each layer of the BSS,it is found that integrating erasure codes at the transmission layer has the advantages of strong error recovery capabilities,simple implementation,and good real-time performance.This paper also studies the principle of implementing erasure codes in the two BSS services,and gives a variety of possible implementations.In addition,since the BSS transmission scheme has not been standardlized yet,an implementation of the BSS transmission scheme has been conducted in the ION platform based on the Reed-Solomon(RS)coding.Through an emulated deep space data streaming communication testbed,a two node experiment is conducted.The results show a performance gain over the original BSS protocol,and the proposed scheme has great advantages in network performance and real-time transmission performance of streaming media.Besides,this ascendancy increases along with an increase in the channel bit error rate and the propagation delay.The results reveal that our scheme shows substantial advantages in streaming data delivery in deep space.