Wireless Sensor Networks (WSNs) technology has been used for security monitoring to provide a safe working environment for Underground mining miners. But, energy consumption is an important issue in the design of routing protocol in wireless sensor networks. For the problems of coal mine chain-type network topology, unbalanced information flow and energy consumption among nodes is serious uneven, we proposed a Liner Energy-Balanced Uneven Cluster Routing Protocol Algorithm for Underground Mining. The cluster head election mechanism of the algorithm considered the distance between nodes and base station node, nodes energy and nodes density. At the same time, the algorithm reduces the amount of computation when candidate nodes campaigning. We evaluate LEBUC and the results show that LEBUC effectively graded the wireless sensor network of coal mine’s "hot zone" problem and reduces network traffic and energy consumption. It extends the survival time of the network significantly.

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Blockchain technology is increasingly being used in personal data protection. Inspired by the importance of data security, this paper proposes a personal data protection mechanism based on blockchain, combined with distributed hash tables and cryptography, to enhance users' control over the data generated using web applications. This mechanism limits enterprises' data collection and uses by users without their permission, and users have complete control over the data they generate when using the web services provided by the enterprise. It is up to the user to decide whether to share their data with other organizations. This paper designs this mechanism's system model and describes the three aspects in detail: data storage mechanism, data encryption mechanism, and data trading mechanism. Among them, the data storage mechanism restrains enterprises from privately collecting users' data, the encryption mechanism ensures that the users control the generated user data, and the data trading mechanism enables users to decide to which organizations to trade their data. Then, use the Stackelberg game to simulate the revenue sharing between users and service providers in data trading, as comparison to the current scheme, this one provides 31%, 561%, and 19% more income for the service provider when there are 1000 users. Finally, it designs and implements an application platform to reflect the practical significance of this research..