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Improve Energy Consumption and Packet Scheduling for Mobile Edge Computing

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Book cover Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

Mobile edge computing (MEC) has attracted great interests as a promising approach to augment computational capabilities of smart mobile devices by using computation offloading. In this paper, we jointly formulate an optimization problem to minimize both energy consumption and packet scheduling. By adopting Promoted-by-probability (PBP) scheme, we efficiently control packet jamming of different priority packets transmitting to MEC. A modified krill herd met heuristic optimization algorithm is presented for the purpose of obtaining the optimal results of minimizing the total overhead of MEC. The evaluation study demonstrates that our proposal can outperform efficiently in terms energy consumption and execution packet jamming.

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Correspondence to Yibo Yang .

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© 2019 Springer Nature Singapore Pte Ltd.

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Yang, Y., Zhao, H., Gu, X. (2019). Improve Energy Consumption and Packet Scheduling for Mobile Edge Computing. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_201

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_201

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

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