Performance Optimization of Network Coding Based Communication and Reliable Storage in Internet of Things
Jian Li, Yun Liu, Zhenjiang Zhang, Jian Ren, and Nan Zhao

TL;DR
This paper explores the application of classic network coding theory in IoT, proposing an adaptive coding scheme for data transmission and an optimal storage allocation method to enhance reliability in distributed cloud storage.
Contribution
It introduces an adaptive network coding scheme for IoT core networks and a polynomial-time optimal storage allocation method for distributed cloud storage, improving efficiency and reliability.
Findings
ANC scheme improves transmission efficiency in IoT networks
OSA scheme significantly enhances storage reliability
Theoretical and simulation results validate the proposed methods
Abstract
Internet or things (IoT) is changing our daily life rapidly. Although new technologies are emerging everyday and expanding their influence in this rapidly growing area, many classic theories can still find their places. In this paper, we study the important applications of the classic network coding theory in two important components of Internet of things, including the IoT core network, where data is sensed and transmitted, and the distributed cloud storage, where the data generated by the IoT core network is stored. First we propose an adaptive network coding (ANC) scheme in the IoT core network to improve the transmission efficiency. We demonstrate the efficacy of the scheme and the performance advantage over existing schemes through simulations. %Next we study the application of network coding in the distributed cloud storage. Next we introduce the optimal storage allocation problem…
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Taxonomy
TopicsCooperative Communication and Network Coding · Caching and Content Delivery · Advanced Wireless Communication Technologies
