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Table 1 Simulation parameters

From: Energy-efficient offloading and resource allocation for mobile edge computing enabled mission-critical internet-of-things systems

Parameters Value
Cell radius 250 m
IoT device number, K [4, 24]
Number of APs, N 3
Data volume, \({\mathbb {U}}_k\) \({\mathbb {U}}_k \in [60,100]\) bytes
Output data size, \({\mathbb {D}}_k\) \({\mathbb {D}}_k \in [30,50]\) bytes
Required computation resource \({\mathbb {F}}_k\) \({\mathbb {F}}_k \in [1\times 10^3, 1 \times 10^4]\) CPU cycles
AP computation capacity, \(L_n\) 1 G CPU cycles per second
Effective switched capacitance, \(\alpha _n\) \(10^{-27}\)
Short packet transmission time, \(\tau _{\text {U}}\)\(\tau _{\text {D}}\) 20 ms
Latency requirement of device k, \(T_k\), 5 s
SNR loss, \(\delta\) 1.5
Decoding error probability, \(\varepsilon _k\) \(2\times 10^{-8}\)
IoT devices distribution Randomly uniform distribution
APs distribution Uniformly distributed over the circle diameter
Noise power spectral density, \(N_0\) − 130 dBm/Hz
System bandwidth, W 1 MHz
AP transmit power budget, \(P_n\) 1 W
Small scale fading Rayleigh fading with unit variance
Distance dependent path loss \(128.1 + 37.6 \log _{10} d\), d is in Km
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