Abstract

This article investigates the data persistence problem in the planetary surface network of interplanetary Internet using the distributed raptor codes. In order to improve the lifetime of space information and space nodes’ energy efficiency in planetary surface network, we propose an efficient data persistence strategy based on raptor codes and probabilistic broadcasting. Unlike most existing data persistence strategies where the random walks are used to disseminate source packets, the probabilistic broadcasting mechanism is employed in the proposed strategy to reduce the data dissemination cost by exploiting the broadcast property of wireless networks. The decoding performance and data dissemination cost are analyzed. Simulation results validate that the proposed strategy consumes the least data dissemination cost while achieving a better decoding performance compared with other representative strategies.

Highlights

  • The interplanetary Internet (IPN) is proposed to face the requirements of different deep space missions early in this century

  • As shown in Mukherjee and Ramamurthy[1] and Akyildiz et al.,[2] the planetary networks (PNs) includes a planetary orbiter network (PON) and a planetary surface network (PSN), where the PSN is composed of a large number of space nodes such as rovers, astronauts, and landers

  • It is our intuition that the data dissemination cost can be significantly reduced through broadcasting

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Summary

Introduction

The interplanetary Internet (IPN) is proposed to face the requirements of different deep space missions early in this century. International Journal of Distributed Sensor Networks approach is disseminating it with redundancy among the entire network, and the original data can be reconstructed by querying a few space nodes even though some are accessible. This is known as the data persistence or distributed data storage problem in wireless communication networks.[7]. Redundancy packets are obtained based on Raptor codes[15] and original data are disseminated among the AS network using the probabilistic broadcasting (PBcast)[16] manner.

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