Toward Pre-Empted EV Charging Recommendation Through V2V-Based Reservation System

Cao, Yue; Jiang, Tao; Kaiwartya, Omprakash; Sun, Hongjian; Zhou, Huan; Wang, Ran

doi:10.1109/tsmc.2019.2917149

Cited by 76 publications

(37 citation statements)

References 34 publications

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“…• [133], collision avoidance systems [134], as well as the charging of electric vehicles [135]. We note that these outlined use cases and a wide range of other D2D communication use cases have the potential to significantly benefit from jointly exploiting installed MEC computing and caching resources as well as the resources of other nearby mobile end devices, i.e., from device-enhanced MEC.…”

Section: Device-to-device (D2d) Communicationmentioning

confidence: 99%

Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey

et al. 2019

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Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices in providing compute-and data-intensive services with low latency. Growing service demands by the end devices may overwhelm MEC installations, while cost constraints limit the increases of the installed MEC computing and data storage capacities. At the same time, the ever increasing computation capabilities and storage capacities of mobile end devices are valuable resources that can be utilized to enhance the MEC. This article comprehensively surveys the topic area of device-enhanced MEC, i.e., mechanisms that jointly utilize the resources of the community of end devices and the installed MEC to provide services to end devices. We classify the device-enhanced MEC mechanisms into mechanisms for computation offloading and mechanisms for caching. We further subclassify the offloading and caching mechanisms according to the targeted performance goals, which include throughput maximization, latency minimization, energy conservation, utility maximization, and enhanced security. We identify the main limitations of the existing device-enhanced MEC mechanisms and outline future research directions. INDEX TERMS Caching, computation offloading, device-to-device (D2D) communication, mobile edge computing (MEC). I. INTRODUCTION A. MOTIVATION

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Section: Device-to-device (D2d) Communicationmentioning

confidence: 99%

Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey

et al. 2019

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“…Authors in [1] proposed a scheme to manage EV charging that minimizes the charging waiting period (with preempted charging service) for heterogeneous EVs. Based on the knowledge of those EVs parked locally at CS's as well as those who make reservations for charging remotely.…”

Section: Related Work a Charge Scheduling And V2v Communicationmentioning

confidence: 99%

“…GA(Global Aggregator), as discussed in [1], controls and manages the slot booking in a localized group of chargers. Whenever an EV reaches in an area which generates a request to book a slot, the request will be transmitted via the RoadSide Unit (RSU) to the GA.…”

Section: Introductionmentioning

confidence: 99%

Next-Generation Smart Electric Vehicles Cyber Physical System for Charging Slots Booking in Charging Stations

Chavhan

Dubey²,

Lal³

et al. 2020

IEEE Access

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Owing to the increased worldwide awareness regarding pollution caused by the consumption of fossil fuels, Battery-powered vehicles are bound to take over the conventional Internal Combustion Engine. Keeping the difficulties faced by the economy of the city and the populace of adapting to an entirely grid-run charging infrastructure in mind, a framework incorporating electric vehicles to everything (EV2X) communication and Charge Slot booking based on data got from a survey conducted has been developed in this literature. The conclusions drawn from the survey develop key insights into developing statisticorating the use of LTE to support the conventional OCPP and promote user controlal models that are further explored in this context. Algorithms and strategies to implement next-generation efficient EV2X communications have been implemented and developed for the city. Further, we have established a priority order for slot booking and incorp over charge-cycles. Introducing IPMUs using an LTE connection to act as a supplement to the conventional OCPP is explored in this context. Besides that, we have built the M/M/m queuing model of EVs in the charging station and its optimisation. We have done the exhaustive evaluation of the robustness of the proposed system in a fairly large-scale network in a discrete-time event simulator. The proposed system's results (simulation, analytical, and comparison) show the reduction of waiting time, good accuracy, and saving of charging time and costs. These performances measures improve shows the real-time applicability of the proposed system.

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“…With the potential of human mobility to offer unprecedented opportunities for both sensing coverage and data transmission [4]- [6], MCS systems have been able to replace single-purpose networks in many applications. This, however, implies that an acceptable volume of human involvement has to be maintained for these systems to succeed.…”

Section: Introductionmentioning

confidence: 99%

“…This would enable us to estimate the outcome of a sensing campaign without holding it; hence, saving the budget for more auctions. for p ∈ P t do 6:…”

mentioning

confidence: 99%

Maximizing Clearance Rate of Budget-Constrained Auctions in Participatory Mobile CrowdSensing

2020

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Mobile devices equipped with diverse sensors have emerged as ubiquitous data collection systems within the rising paradigm of Mobile CrowdSensing (MCS). In MCS, auctions are adopted as effective incentive mechanisms in order to secure an acceptable level of contribution from users in participatory MCS. Recent techniques in the literature have addressed several challenges in auctions-based task assignments in centralized MCS. In this research, towards effective task-participant matching, we focus on maximizing the number of completed tasks, the Clearance Rate (CR), which has not been addressed in the literature to date despite the impact it exercises on the satisfaction of service demanders. We propose new bidding procedures for the task allocation strategy. The proposed procedures generalize well to reputation-aware auctioning while handling practical scenarios experienced during campaigns with budget constraints. Particularly, we show that for campaigns that are held consecutively in time, the adoption of an intuitive look-back strategy, for budget transfer from previous campaigns, would remarkably influence the CR. Moreover, observing that tasks with a few bidders should be assigned a higher priority in order to get accomplished, we introduce a new factor for task redundancy. In addition to promoting the accomplishment of unpopular tasks, this factor spares the budget to accomplish more tasks by penalizing redundant task assignment. Extensive performance evaluation of the proposed methods is carried out under various system parameters, namely the number of tasks, auctions, and participants. We demonstrate the effectiveness of the suggested procedures through a significant-and-consistent increase, that ranges from 50% − 500%, in the attained CR compared to the most recent techniques in the literature.

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Toward Pre-Empted EV Charging Recommendation Through V2V-Based Reservation System

Abstract: Ran (2019) 'Toward preempted EV charging recommendation through V2V based reservation system.', IEEE transactions on systems, man, and cybernetics : systems. .

Cited by 76 publications

References 34 publications

Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey

Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey

Next-Generation Smart Electric Vehicles Cyber Physical System for Charging Slots Booking in Charging Stations

Maximizing Clearance Rate of Budget-Constrained Auctions in Participatory Mobile CrowdSensing

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