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EEDOS: an energy-efficient and delay-aware offloading scheme based on device to device collaboration in mobile edge computing

Author

Listed:
  • Ramtin Ranji

    (University Malaya)

  • Ali Mohammed Mansoor

    (University Malaya)

  • Asmiza Abdul Sani

    (University Malaya)

Abstract

Device to device (D2D) communication and mobile edge computing (MEC) are two promising technologies in fifth generation (5G) cellular mobile communication. Besides MEC, a new task offloading technique attracts the attention as D2D collaboration. However, there is lack of integrated D2D and MEC framework to address the energy and delay costs in a joint approach. This work, proposes an energy efficient and delay-aware offloading scheme (EEDOS) based on D2D collaboration in MEC. In EEDOS, mobile devices can offload their task to the MEC or an idle mobile device in their proximity. The task execution and offloading to the MEC or an idle nearby device is formulated, and the optimization problem is defined. The whole process of allocating proper offloading destination is designed in the edge server. EEDOS, classifies offloading requests according to the deadline and energy constraint of requesting device. Then, it finds the proper offloading destination by utilising the maximum matching with minimum cost graph algorithm. Through simulation, we show that EEDOS achieves 95 percent of energy efficiency in comparison of no-offloading task execution and outperforms existing studies in term of energy efficiency with an improved delay in task execution. Moreover, EEDOS is capable of performing more successful task offloading and requires less edge server resources.

Suggested Citation

  • Ramtin Ranji & Ali Mohammed Mansoor & Asmiza Abdul Sani, 2020. "EEDOS: an energy-efficient and delay-aware offloading scheme based on device to device collaboration in mobile edge computing," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(2), pages 171-182, February.
    • Handle: RePEc:spr:telsys:v:73:y:2020:i:2:d:10.1007_s11235-019-00595-3
    DOI: 10.1007/s11235-019-00595-3
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    References listed on IDEAS

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    1. Ali Mohammed Alsahag & Borhanuddin M. Ali & Nor Kamariah Noordin & Hafizal Mohamad, 2016. "Maximum rate resource allocation algorithms with multiuser diversity and QoS support for downlink OFDMA based WiMAX system," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 63(1), pages 1-14, September.
    2. Farooq Alam Orakzai & Muhammad Iqbal & Muhammad Naeem & Ayaz Ahmad, 2018. "Energy efficient joint radio resource management in D2D assisted cellular communication," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 69(4), pages 505-517, December.
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