A computing unloading method based on mobile edge computing in the Internet of Things
An edge computing and computing offloading technology, applied in the field of the Internet of Things, can solve problems such as inability to meet low latency requirements, and achieve the effect of improving reliability and stability
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[0067] Below in conjunction with accompanying drawing and example, describe technical scheme of the present invention in detail
[0068] In this example, the number of source devices is N=10, and the number of auxiliary offloading devices is M=20; the distribution range of the devices is [300,500]m away from the edge cloud computing server; the transmission power of the source devices is p i =0.1W, Channel bandwidth B=0.18MHz, auxiliary unloading equipment sending power p j =0.2W, Background noise power spectral density N 0 =-174dBm / Hz; the channel model adopts log-normal shadowing model (Log-Normal Shadowing Model), and the amount of data per frame is d i [r] Obey the Poisson distribution with an average value of 1000kbps; the user mobile model adopts the Gauss-Markov Mobile Model; the social relationship between the source device and the auxiliary offloading device obeys a Gaussian distribution with an average value of 0.5; the device calculation resource f ii , f i0...
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