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Nowadays scalable IoT management is a bottleneck of IoT development due to the geographically dispersed distribution, fragmented ownerships, and ever-growing population of IoT devices. To intelligently manage massive decentralized applications (dApps) in IoT usecases, Edgence (EDGe + intelligENCE) is proposed to use edge clouds to access IoT devices and users, and then use its in-built blockchain to realize self-governing and self-supervision of the edge clouds. Edgence proposes to use masternode technology to introduce IoT devices and users into a closed blockchain system, which can extend the range of blockchain to IoT-based dApps. Further, masternodes do good to scalability by raising the TPS (transactions per second) of the blockchain network. To support various dApps, a three-tier validation is proposed, namely script validation, smart contract validation, and masternode validation. To avoid energy consumption resulted by blockchain consensus, Edgence proposes a random but verifiable way to elect a masternode to generate each new block. The potential of the tailored Edgence is shown by examples of decentralized crowdsourcing and AI training.
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Jinliang Xu
China Academy of Information and Communications Technology
Shangguang Wang
Beijing University of Posts and Telecommunications
Ao Zhou
Wuhan Textile University
China Communications
Beijing University of Posts and Telecommunications
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Xu et al. (Wed,) studied this question.
synapsesocial.com/papers/6a1fd504f3cec84e9a516b2c — DOI: https://doi.org/10.23919/jcc.2020.04.008