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Towards Green IoT Networking: Performance Optimization of Network Coding Based Communication and Reliable Storage


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Abstract


Internet of things (IoT) is expanding its outreach to almost every aspect of our daily life. By utilizing network coding in Internet of things, the IoT energy consumption can be reduced. Thus it is worthwhile studying and improving the applications in Internet of things where network coding is ncorporated. In this paper, we optimize the performance of network coding based communication and reliable storage 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 introduce the optimal storage allocation problem in the network coding based distributed cloud storage, which aims at searching for the most reliable allocation that distributes the n data components into N data centers, given the failure probability p of each data center. Then we propose a polynomial-time optimal storage allocation (OSA) scheme to solve the problem. Both the theoretical analysis and the simulation results show that the storage reliability could be greatly improved by the OSA scheme.

KeyWords
Internet of things, wireless sensor networks, distributed cloud storage, green networking.



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