Analytical offloading design for mobile edge computing-based smart internet of vehicle

Abstract

In this paper, we investigate how to analytically design an analytical offloading strategy for a multiuser mobile edge computing (MEC)-based smart internet of vehicle (IoV), where there are multiple computational access points (CAPs) which can help compute tasks from the vehicular users. As it is difficult to derive an analytical offloading ratio for a general MEC-based IoV network, we turn to provide an analytical offloading scheme for some special MEC networks including one-to-one, one-to-two and two-to-one cases. For each case, we study the system performance by using the linear combination of latency and energy consumption, and derive the analytical offloading ratio through minimizing the system cost. Simulation results are finally presented to verify the proposed studies. In particular, the proposed analytical offloading scheme can achieve the optimal performance of the brute force (BF) scheme. The analytical results in this paper can serve as an important reference for the analytical offloading design for a general MEC-based IoV.

Multiple Dimensional Encoding/Modulation Shift-and-Addition Design for Distributed Systems

“…The rule for adding and subtracting is to XOR coefficients of the same order in two polynomials, and there is no difference between the two operations, such as ðz 2 + zÞ + ðz + 1Þ = z 2 + 1, ðz 2 + zÞ − ðz + 1Þ = z 2 + 1. At present, the multiplication and division operations [23] of finite fields usually count on the look-up tables. Each field has positive and negative tables, which are denoted as gf log and gf i log, respectively, on the GFð2 ω Þ field.…”

“…Multidimensional encoding/modulation promises high data rate [18,19], which has been used as promising technique in communication [20] and distributed systems [22,23]. As a result, to further reduce the overhead, based on the idea of multidimensional encoding/modulation, we propose the idea of one element taking part in the encoding process multiple times when constructing one encoded packet.…”

Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks

“…Especially, outage opportunity was actually really analyzed in [5,6]. SER of TWRN in Rayleigh fading systems was actually really acquired in [7,8] was actually really made use of. To improve the body system effectiveness, the procedure of interact option was actually really advised on TWRN [?…”

An Optimized Approach for Industrial IoT Based on Edge Computing

“…The Industrial Internet of Things (IIoT) is regarded as an important driver of the intelligent transformation of the global industrial system. Relying on hundreds of millions of seamlessly deployed sensors, collectors, and controllers, the Industrial Internet of Things can simulate, predict, and control the full cycle of the manufacturing process [1]. As the "brain" of the IIoT, the edge computing network provides more sufficient computing processing capabilities for wireless acquisition devices, effectively reducing processing and transmission delays, and is useful for digital twin (DT) [2], virtual reality (VR), etc.…”