Stochastic Peak Age of Information Guarantee for Cooperative Sensing in Internet of Everything

Zhong, Ailing; Li, Zhidu; Wang, Dapeng; Tang, Tong; Wang, Ruyan

doi:10.1109/jiot.2023.3264826

Cited by 11 publications

(7 citation statements)

References 29 publications

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“…For each BS, the bandwidth is 10 MHz. The MEC servers have diversified computation capacities which are randomly generated from [2,8] GHz. For each MD, the maximal uplink transmit power is 23 dBm, the local computation capacity is 1 GHz, and the switched capaci-tance ε = 10 −27 [35].…”

Section: Simulation Setupmentioning

confidence: 99%

“…Explosive growing smart phones, wearable devices, autonomous driving cars, and intelligent robots, will be connected to the network. The rapid proliferation of IoT mobile devices (MDs) has spurred the development of numerous intelligent applications, such as virtual reality and auto-driving [2], and has raised higher demands on the computation capacities of the IoT networks [3]. In comparison to conventional data transmission services, intelligent application services exhibit more complex and diversified characteristics and demands both in task composition and quality of service (QoS).…”

Section: Introductionmentioning

confidence: 99%

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Flexible Offloading and Task Scheduling for IoT Applications in Dynamic Multi-Access Edge Computing Environments

Sun,

Bian,

et al. 2023

Symmetry

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Nowadays, multi-access edge computing (MEC) has been widely recognized as a promising technology that can support a wide range of new applications for the Internet of Things (IoT). In dynamic MEC networks, the heterogeneous computation capacities of the edge servers and the diversified requirements of the IoT applications are both asymmetric, where and when to offload and schedule the time-dependent tasks of IoT applications remains a challenge. In this paper, we propose a flexible offloading and task scheduling scheme (FLOATS) to adaptively optimize the computation of offloading decisions and scheduling priority sequences for time-dependent tasks in dynamic networks. We model the dynamic optimization problem as a multi-objective combinatorial optimization problem in an infinite time horizon, which is intractable to solve. To address this, a rolling-horizon-based optimization mechanism is designed to decompose the dynamic optimization problem into a series of static sub-problems. A genetic algorithm (GA)-based computation offloading and task scheduling algorithm is proposed for each static sub-problem. This algorithm encodes feasible solutions into two-layer chromosomes, and the optimal solution can be obtained through chromosome selection, crossover and mutation operations. The simulation results demonstrate that the proposed scheme can effectively reduce network costs in comparison to other reference schemes.

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Section: Simulation Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flexible Offloading and Task Scheduling for IoT Applications in Dynamic Multi-Access Edge Computing Environments

Sun,

Bian,

et al. 2023

Symmetry

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“…Advances in digitization have led to an increasing demand for the capacity and quality of data transfer. Ensuring the capacity of fiber optic communication technology, a pillar of data transmission, is one of the greatest challenges [1][2][3][4][5]. The coherent optical communication technology transmission system is widely used in long-distance transmission because of its higher multiplexing efficiency compared with the intensity modulation-direct detection (IM-DD) system [6,7].…”

Section: Introductionmentioning

confidence: 99%

Wide and Deep Learning-Aided Nonlinear Equalizer for Coherent Optical Communication Systems

Jiang,

Liu,

Zhang

2024

Photonics

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In this study, we developed a wide and deep network-based nonlinear equalizer to compensate for nonlinear impairment in coherent optical communication systems. In our proposed equalizer, the power feature factor and inter-symbol feature sequence in the received signal are analyzed by two combined networks, wide and deep, respectively, so that the information contained in the signal can be fully utilized. We designed an experiment using a 120 Gbit/s 64-quadrature amplitude modulation (64-QAM) coherent optical communication system over a 375 km standard single-mode fiber (SSMF) to verify the performance of the proposed wide and deep network-based nonlinear equalizer. The experimental results showed that the proposed wide and deep network-based nonlinear equalizer achieved better performance at lower complexity compared with the traditional neural network-based nonlinear equalizer. The proposed equalizer significantly improved the equalization effect at a cost of a 0.3% increase in parameters, which indicates the potential of the proposed method for application in coherent optical communication systems.

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“…Internet of Vehicles technology aims to deliver globally standardized communication tools [1] for efficiently transferring data between all participants in the transportation sector [2]. Vehicles are fitted with advanced onboard sensors, controllers, and actuators and integrate modern communication and networking technologies to achieve the exchange and sharing of intelligent information between vehicles and people, vehicles, roads, and the cloud [3].…”

Section: Introductionmentioning

confidence: 99%

Design of a Collaborative Vehicle Formation Control Simulation Test System

Xu,

Zhang,

Ding

et al. 2023

Electronics

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The purpose of this research is to tackle one of the most difficult issues in the realm of self-driving cars, which is the testing of advanced self-driving application scenarios. Thus, this study proposes a simulation testing system based on hardware-in-the-loop simulation technology. This system can enable data exchange between hardware systems as well as replicate and evaluate the algorithmic operations of the equipment under laboratory conditions. The system can integrate scenario simulation software with MATLAB to evaluate algorithm performance. The vehicle formation control system is tailored for collaborative vehicle formation management scenarios and tested in the simulation test system. The findings display the functional integrity of the vehicle formation control system, the reliability of lane changing and the stability and safety of cruising. It additionally demonstrates that the simulation testing system has the ability to recreate cooperative vehicle arrangement management situations and assess their functionality and performance. In forthcoming research, comprehensive functional and performance assessments will be executed on various typical scenarios for advanced autonomous driving applications in order to authenticate the simulation test system’s applicability.

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Stochastic Peak Age of Information Guarantee for Cooperative Sensing in Internet of Everything

Cited by 11 publications

References 29 publications

Flexible Offloading and Task Scheduling for IoT Applications in Dynamic Multi-Access Edge Computing Environments

Flexible Offloading and Task Scheduling for IoT Applications in Dynamic Multi-Access Edge Computing Environments

Wide and Deep Learning-Aided Nonlinear Equalizer for Coherent Optical Communication Systems

Design of a Collaborative Vehicle Formation Control Simulation Test System

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