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

• Main Authors: Jian Li, Yun Liu, Zhenjiang Zhang, Jian Ren, Nan Zhao
• Format: Article
• Language: English
• Published: IEEE 2017-01-01
• Series: IEEE Access
• Subjects: Internet of Things; wireless sensor networks; distributed cloud storage; green networking
• Online Access: https://ieeexplore.ieee.org/document/7935495/

Internet of things (IoT) is expanding its outreach to almost every aspect of our daily life. By utilizing network coding in IoT, the IoT energy consumption can be reduced. Thus it is worthwhile studying and improving the applications in IoT, where network coding is incorporated. In this paper, we optimize the performance of network coding-based communication and reliable storage in two important components of IoT, 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 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. Second, 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. Finally, 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.