Chaochen Xie
ABSTRACT
In The Internet of Things (IoT), fast response and low energy consumption have been the focus of the technology processing. To effectively reduce the energy consumption and arduous data processing tasks of mobile terminals, transferring data to edge servers for processing is the main current processing method, but this undoubtedly increases the time cost again. In this paper, we densely deploy edge computing servers so that they can be as close as possible to the mobile terminals, while using an optimal coverage combined with a greedy algorithm optimization approach. Simulation results show that this strategy is significant in terms of data transfer time cost and reduced energy consumption. Meanwhile, the impact of data transfer transmission probability on time cost and energy consumption in mobile edge computing is also analyzed in this paper.
CCS KEYWORDS • Modeling and Simulation evaluation• Mathematical analysis and Calculus• Planning and scheduling
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Index Terms
- Research of mobile edge computing optimization technology based on cell-optimized coverage
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