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With the explosive growth of smart IoT devices at the edge of the Internet, embedding sensors on mobile devices for massive data collection and collective environment sensing has been envisioned as a cost-effective solution for IoT applications.
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J. B. Rosen, · 1965
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“Practical byzantine fault tolerance and proactive recovery,”
M. Castro and B. Liskov, · 2002
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“Bitcoin: A peer-to-peer electronic cash system,”
S. Nakamoto, · 2008
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“Variation-aware application scheduling and power management for chip multiprocessors,”
R. Teodorescu and J. Torrellas, · 2008
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“Stochastic geometry and wireless networks: Volume ii applications,”
F. Baccelli, B. Błaszczyszyn et al., · 2010
Cited alongside, same era.
“Mobile crowdsensing: current state and future challenges,”
R. K. Ganti, F. Ye and H. Lei, · 2011
Cited alongside, same era.
“Smart contract templates: foundations, design landscape and research directions,”
C. D. Clack, V. A. Bakshi and L. Braine, · 2016
Cited alongside, same era.
“A secure sharding protocol for open blockchains,”
L. Luu, V. Narayanan, C. Zheng, K. Baweja, S. Gilbert and P. Saxena, · 2016
Cited alongside, same era.
“Cisco global cloud index: Forecast and methodology, 2016-2021. white paper,”
C. V. Networking, · 2018
Closest in time.
“Wirelessly powered urban crowd sensing over wearables: Trading energy for data,”
O. Galinina, K. Mikhaylov, K. Huang, S. Andreev and Y. Koucheryavy, · 2018
Closest in time.
“Edge computing architecture for mobile crowdsensing,”
M. Marjanović, A. Antonić and I. P. Žarko, · 2018
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“A survey on consensus mechanisms and mining management in blockchain networks,”
W. Wang, D. T. Hoang, Z. Xiong, D. Niyato, P. Wang, P. Hu and Y. Wen, · 2018
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