The optimized energy-efficient sensible edge processing model for the internet of vehicles in smart cities

Shen, Xianhao; Yu, Haitao; Liu, Xiaoyong; Qiu, Bin; Luhach, Ashish Kr.; Saravanan, Vijayalakshmi

doi:10.1016/j.seta.2021.101477

Cited by 13 publications

(2 citation statements)

References 20 publications

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“…However, this may increase the energy consumption, so they proposed a multivariate optimization method to efficiently manage the energy of battery-supported RSUs and EVs. Energy issues and sustainable development are significant parts of IoV, which are crucial to the reliability and effectiveness of the system, and will continue to receive attention [92].…”

Section: Big-data-oriented Task Offloadingmentioning

confidence: 99%

Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues

Danba

Bao

Han³

et al. 2022

Sensors

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Internet of Vehicles (IoV) technology has been attracting great interest from both academia and industry due to its huge potential impact on improving driving experiences and enabling better transportation systems. While a large number of interesting IoV applications are expected, it is more challenging to design an efficient IoV system compared with conventional Internet of Things (IoT) applications due to the mobility of vehicles and complex road conditions. We discuss existing studies about enabling collaborative intelligence in IoV systems by focusing on collaborative communications, collaborative computing, and collaborative machine learning approaches. Based on comparison and discussion about the advantages and disadvantages of recent studies, we point out open research issues and future research directions.

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Section: Big-data-oriented Task Offloadingmentioning

confidence: 99%

Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues

Danba

Bao

Han³

et al. 2022

Sensors

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show abstract

“…As a pillar industry, the automobile industry has made breakthroughs in recent years by continuously improving core technologies. [1,2] With the excessive demand for automobiles today, the development level of the automotive industry has become an indispensable factor in evaluating the international competitiveness of a country and the level of its national economy. [3] Because of the scarcity of fossil fuels, the blossoming of new energy automobiles has ushered in a unique opportunity.…”

Section: Introductionmentioning

confidence: 99%

Energy Management Optimization of Master–Slave Hybrid Electric Vehicle under Rule‐Based Control Strategy

Zhang

Hong

et al. 2022

Energy Tech

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In response to the imperfections and issues with conventional fuel vehicles and electric vehicles (EVs), this article proposes a master–slave hybrid electric vehicle (MSHEV) with multiple energy sources. The research team establishes the rule‐based control strategy for MSHEV with the aid of reviewing existing theories. The control strategy enables the MSHEV to transition between several working modes. The simulation consequence verifies that the MSHEV has lower power consumption and energy loss than the EV under actual vehicle driving cycle. One of most critical initial steps in ameliorating a vehicle's performance is parameter optimization. This article selects the battery state of charge of MSHEV as the optimization objective and optimizes applicable parameters. Thereafter, an approximate model is constructed based on the Response Surface Model, and an optimization model is built based on the Multi‐Island Genetic Algorithm. The energy management of the optimized MSHEV is more reasonable and the state of charge is further enhanced. The accomplishment of this article is of considerable significance and reference value in the optimization of energy management of hybrid electric vehicles.

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Intelligent energy efficient vehicle automation system with sensible edge processing protocol in Internet of Vehicles using hybrid optimization strategy

Deepa¹,

Ali²,

Hemamalini³

2023

Wireless Netw

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The optimized energy-efficient sensible edge processing model for the internet of vehicles in smart cities

Cited by 13 publications

References 20 publications

Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues

Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues

Energy Management Optimization of Master–Slave Hybrid Electric Vehicle under Rule‐Based Control Strategy

Intelligent energy efficient vehicle automation system with sensible edge processing protocol in Internet of Vehicles using hybrid optimization strategy

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