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Dynamic Weighted Fog Computing Device Placement Using a Bat-Inspired Algorithm with Dynamic Local Search Selection

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Abstract

This work investigates the dynamical weighted deployment of mobile fog computing devices to support a mobile edge computing environment, in which each edge device is associated with a weight to reflect its importance based on the application. Since edge devices are mobile and could be switched off, it is challenging to dynamically optimize the deployment to adapt to dynamic change. This work further models the problem mathematically and solves it by a bat-inspired algorithm (BA), which searches the optimal solutions by simulating the food-searching behavior of bats via echolocation. Furthermore, three local search methods designed specifically for this problem are integrated into the BA, and a dynamic local search selection mechanism is proposed to adjust the probabilities of choosing the three local search methods iteratively in the BA main loop. Simulation results show outperformance of the proposed BA over the BA without local search and the previous approach.

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Acknowledgements

The authors thank the anonymous referees for comments that improved the content as well as the presentation of this paper. This work has been supported in part by the Ministry of Science and Technology, Taiwan, under Grant MOST 106-2221-E-009-101-MY3 and Grant MOST 108-2628-E-009-008-MY3.

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Authors and Affiliations

  1. Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, 300, Taiwan

    Chun-Cheng Lin, Sirirat Suwatcharachaitiwong & Yan-Sing Li

  2. Department of Business Administration, Asia Univesity, Taichung, 413, Taiwan

    Chun-Cheng Lin

  3. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 404, Taiwan

    Chun-Cheng Lin

  4. Department of Computer Science and Information Engineering, National Changhua University of Education, Changhua, 500, Taiwan

    Der-Jiunn Deng

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  1. Chun-Cheng Lin
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  2. Der-Jiunn Deng
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  3. Sirirat Suwatcharachaitiwong
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  4. Yan-Sing Li
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Correspondence to Der-Jiunn Deng.

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Lin, CC., Deng, DJ., Suwatcharachaitiwong, S. et al. Dynamic Weighted Fog Computing Device Placement Using a Bat-Inspired Algorithm with Dynamic Local Search Selection. Mobile Netw Appl 25, 1805–1815 (2020). https://doi.org/10.1007/s11036-020-01565-9

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