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

Ramtin Ranji (), Ali Mohammed Mansoor () and Asmiza Abdul Sani ()
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Ramtin Ranji: University Malaya
Ali Mohammed Mansoor: University Malaya
Asmiza Abdul Sani: University Malaya

Telecommunication Systems: Modelling, Analysis, Design and Management, 2020, vol. 73, issue 2, No 3, 182 pages

Abstract: 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.

Keywords: Task offloading; Device to device communication; Mobile edge computing; Energy efficiency (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11235-019-00595-3

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