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Smart Traffic Offloading with Mobile Edge Computing for Disaster-Resilient Communication Networks

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Abstract

When a large-scale natural disaster happens, the evolved node B (eNB) of the disaster area (DA) may be destroyed, and the core network (CN) may be congested with massive data traffic. A disaster-resilient communication system can help relief workers execute the rescue operation. In this paper, we propose a smart traffic offloading mechanism (STOM) on a vehicular eNB (VeNB) to improve the system throughput and delay of the disaster-resilient communication system with heavy CN congestion. Based on the concept of mobile edge computing, the proposed STOM can redirect the traffic flows of relief workers in the same DA to prevent the local data from entering the CN. Therefore, traffic flows between relief workers in the same DA can be transmitted directly through the VeNB only, and system throughput and transmission delay can be significantly improved. Simulation results show that our proposed STOM can achieve 2277% higher system throughput and significantly improve the delay performance, compared with the disaster-resilient communication system without STOM under the worst-case CN congestion environment.

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Authors and Affiliations

  1. School of Defense Science, Chung Cheng Institute of Technology, National Defense University, Taoyuan, Taiwan

    Wen-Pin Chen

  2. Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan, Taiwan

    Ang-Hsun Tsai

  3. Department of Computer Science and Information Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan, Taiwan

    Chung-Hsien Tsai

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  1. Wen-Pin Chen
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  2. Ang-Hsun Tsai
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  3. Chung-Hsien Tsai
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Correspondence to Ang-Hsun Tsai.

Additional information

This work was sponsored by the Ministry of Science and Technology (MOST) of Taiwan under the Grant MOST 107-2221-E-606-005-MY2.

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Chen, WP., Tsai, AH. & Tsai, CH. Smart Traffic Offloading with Mobile Edge Computing for Disaster-Resilient Communication Networks. J Netw Syst Manage 27, 463–488 (2019). https://doi.org/10.1007/s10922-018-9474-z

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  • DOI: https://doi.org/10.1007/s10922-018-9474-z

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