Requirements for Energy Efficient Edge Computing : A Survey
Väänänen, O., & Hämäläinen, T. (2018). Requirements for Energy Efficient Edge Computing : A Survey. In O. Galinina, S. Andreev, S. Balandin, & Y. Koucheryavy (Eds.), NEW2AN 2018, ruSMART 2018 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems : 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, St. Petersburg, Russia, August 27–29, 2018, Proceedings (pp. 3-15). Springer. Lecture Notes in Computer Science, 11118. https://doi.org/10.1007/978-3-030-01168-0_1
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© Springer Nature Switzerland AG 2018
Internet of Things is evolving heavily in these times. One of the major obstacle is energy consumption in the IoT devices (sensor nodes and wireless gateways). The IoT devices are often battery powered wireless devices and thus reducing the energy consumption in these devices is essential to lengthen the lifetime of the device without battery change. It is possible to lengthen battery lifetime by efficient but lightweight sensor data analysis in close proximity of the sensor. Performing part of the sensor data analysis in the end device can reduce the amount of data needed to transmit wirelessly. Transmitting data wirelessly is very energy consuming task. At the same time, the privacy and security should not be compromised. It requires effective but computationally lightweight encryption schemes. This survey goes thru many aspects to consider in edge and fog devices to minimize energy consumption and thus lengthen the device and the network lifetime.
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International Conference on Next Generation Wired/Wireless Advanced Networks and SystemsIs part of publication
NEW2AN 2018, ruSMART 2018 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems : 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, St. Petersburg, Russia, August 27–29, 2018, ProceedingsISSN Search the Publication Forum
0302-9743Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/28281072
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