A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks

Wang, Jinpeng; Ye, Zhengpeng; Gillbanks, Jeremy; Sanders, Tarun M.; Zou, Nianyu

doi:10.3390/sym11050718

Cited by 10 publications

(4 citation statements)

References 32 publications

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“…The equation 4 below denotes sending power. The assumption in this system is that there are perfectly rake combining [41] and TPC (Transmit Power Control) [42] work well to value accurately sending powers. Secondly, the Rayleigh fading channel [43] is assumed as L-path, and none of the diversity is utilized in the multi hop relay network, so a transmit power P t (i) from port #i is expressed by…”

Section: Model Of the High-throughput Image Transmissionmentioning

confidence: 99%

Research on High-Throughput Crop Root Phenotype 3D Reconstruction Using X-ray CT in 5G Era

et al. 2023

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Currently, the three-dimensional detection of plant root structure is one of the core issues in studies on plant root phenotype. Manual measurement methods are not only cumbersome but also have poor reliability and damage the root. Among many solutions, X-ray computed tomography (X-ray CT) can help us observe the plant root structure in a three-dimensional and non-destructive form under the condition of underground soil in situ. Therefore, this paper proposes a high-throughput method and process for plant three-dimensional root phenotype and reconstruction based on X-ray CT technology. Firstly, this paper proposes a high-throughput transmission for the root phenotyping and utilizing the imaging technique to extract the root characteristics; then, the study adopts a moving cube algorithm to reconstruct the 3D (three-dimensional) root. Finally, this research simulates the proposed algorithm, and the simulation results show that the presented method in this paper works well.

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Section: Model Of the High-throughput Image Transmissionmentioning

confidence: 99%

Research on High-Throughput Crop Root Phenotype 3D Reconstruction Using X-ray CT in 5G Era

et al. 2023

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“…Recently, MECs have been an expected paradigm to realize computation-intensive applications meeting latency demand. Different from cloud computations, the MEC can push the storing and computing capability into the network edge closer distance from devices [10]. Consequently, devices with a MEC approach offload their missions into a near MEC server at an AP (Access Point) or a BS (Base Station) and get the follow-up results at this server.…”

Section: Introductionmentioning

confidence: 99%

Mobile-Aware Task Offloading Strategy in Large-Scale Asynchronous Mobile Edge Computing based on a Hybrid Deep Q-learning and an Index Policy Scheme

Wang,

Meng,

Kang

et al. 2024

Preprint

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Mobile-edge computing (MEC) offloads computational tasks from wireless devices to network edge, and enables realtime information transmission and computing. Most existing work concerns a small-scale synchronous MEC system. In this paper, we focus on a large-scale asynchronous MEC system with random task arrivals, distinct workloads, and diverse deadlines. We formulate the offloading policy design as a restless multi-armed bandit (RMAB) to maximize the total discounted reward over the time horizon. However, the formulated RMAB is related to a PSPACE hard sequential decision-making problem, which is intractable. To address this issue, by exploiting the Whittle index (WI) theory, we rigorously establish the WI indexability and derive a scalable closed form solution. Consequently, in our WI policy, each user only needs to calculate its WI and report it to the BS, and the users with the highest indices are selected for task offloading. Furthermore, when the task completion ratio becomes the focus, the shorter slack time less remaining workload (STLW) priority rule is introduced into the WI policy for performance improvement. When the knowledge of user offloading energy consumption is not available prior to the offloading, we develop Bayesian learning-enabled WI policies, including maximum likelihood estimation, Bayesian learning with conjugate prior, and prior-swapping techniques. Simulation results show that the proposed policies significantly outperform the other existing policies.

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“…During this period, the image data transmission needs to consider the conditions of accuracy and high throughput. In recent years, scholars have optimized wireless communication algorithms, continuously optimized the signal-to-noise ratio, and expanded the application field of wireless communication [9][10][11]. For the data exchange between a specific plant root CT scanner and the lower processing end, the commonly used medical PCI-E bus communication protocol cannot satisfy the low cost and portability characteristics of future plant phenotype detection.…”

Section: Introductionmentioning

confidence: 99%

High-throughput visible image transmission design based on the X-CT root 3D reconstruction system

Guan¹,

Wang²,

Yang³

et al. 2021

Proceedings of the 8th EAI International Conference on Green Energy and Networking, GreeNets 2021, June 6-7, 2021, Dalian, Peop

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X-ray computed tomography (X-CT) technology can help us observe plants' root structure in a three-dimensional, non-destructive manner under underground soil conditions. Between the CT imaging terminal and the postimage 3D reconstruction processing terminal, there is a massive amount of image data for transmission, and the process requires a lot of transmission time, which is challenging to meet the characteristics of large-scale and high-throughput research. Today's medical transmission bus Technology does not meet the low cost and high convenience of future plant phenotype research. For large-scale population genetic analysis after the three-dimensional phenotype of plant roots, such as quantitative trait locus mapping (QTL) research, it is necessary to have high the technology of flux image data transmission is added based on the threedimensional analysis of the root system. In this paper, under the conditions of underground soil, a high-throughput visual light image transmission system for X-CT plant root CT scanning imager is proposed. It uses the characteristics of fast data transmission speed and large throughput of visible light, and image transmission can be useful. Reduce the time of image data transmission between the upper imaging terminal and the lower image processing terminal and reduce the later 3D reconstruction research time cost.

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A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks

Cited by 10 publications

References 32 publications

Research on High-Throughput Crop Root Phenotype 3D Reconstruction Using X-ray CT in 5G Era

Research on High-Throughput Crop Root Phenotype 3D Reconstruction Using X-ray CT in 5G Era

Mobile-Aware Task Offloading Strategy in Large-Scale Asynchronous Mobile Edge Computing based on a Hybrid Deep Q-learning and an Index Policy Scheme

High-throughput visible image transmission design based on the X-CT root 3D reconstruction system

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