Year-end Sale % OFF 
Abstract
With the increasing demands of big data applications in the Internet of Things (IoT), various applications have emerged to provide mobile services for IoT devices. However, due to the increasing number of IoT devices, transmission delay, energy consumption, and heavy load become new challenges for offloading tasks. Therefore, this article introduces a novel energy-aware task offloading scheme in IoT to determine the optimal offloading strategy. First, the architecture of mobile edge computing (MEC) in IoT is investigated. Second, the challenges of task offloading in MEC for IoT are introduced. Third, the framework of task offloading for MEC is proposed, and the optimal offloading strategy for computing task is achieved. Finally, simulation results show that the proposed scheme can effectively improve the efficiency of task offloading compared with the conventional scheme.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
