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Xiaobo Zhao

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Xiaobo Zhao
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Project title: Network coding in distributed storage of IoT

Project description:
The Internet of Things (IoT) has gained increasing attention in various fields due to its ability to enable new devices to connect to the Internet. Many IoT-based applications, e.g. environmental monitoring, data collection and industrial automation, have a common challenge, namely, how to maintain data reliably when using vulnerable, resource-limited devices. Device failures are caused by a variety of different factors, including limited energy, hardware failures and software errors. IoT systems that are deployed in harsh or unaccessible environments face unique challenges to replace damaged devices or they may be unable to do so. Thus, it is critical to develop a theoretical framework and policies to maintain data reliably in such systems without expecting replacement devices. For this purpose, we plan to do the research from several aspects, e.g. tradeoff between storage redundancy and repair cost, and optimal data protection strategy with/without a leader node.

The goal of this project is to study network coding in distributed storage of IoT comprehensively and to provide thorough research results in this field, which can be significant contributions on both the theoretical and practical sides.

Supervisor: Assoc. Prof. Daniel Rötter

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