Scheduling Algorithm for Vehicle to Road-Side Data Distribution

Shahverdy, Mohammad; Yousefi, Saleh

doi:10.1007/978-3-642-11618-6_4

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…They propose to use different channels to disseminate different types of data and apply push and pull data dissemination techniques based on the volume of requests at the RSU server. Some of the works consider multi-RSU environment [18,19,20,21]. Lochert et al [18] study the comparative effectiveness of VANETs communication in terms of with and without RSU-based communication and find inter-connected multiple RSUs can significantly improve communication performance.…”

Section: V2i Communicationmentioning

confidence: 99%

“…Lochert et al [18] study the comparative effectiveness of VANETs communication in terms of with and without RSU-based communication and find inter-connected multiple RSUs can significantly improve communication performance. Shahverdy et al [19] propose a multi-RSU architecture where RSUs are deployed at the intersections of the road with high speed backbone connection. They argued if a downloading file size is large, it can be served as multiple segments from multiple RSUs.…”

Section: V2i Communicationmentioning

confidence: 99%

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Efficient data dissemination in cooperative multi-RSU Vehicular Ad Hoc Networks (VANETs)

Ali

Chong

Samantha

et al. 2016

Journal of Systems and Software

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Section: V2i Communicationmentioning

confidence: 99%

Section: V2i Communicationmentioning

confidence: 99%

Efficient data dissemination in cooperative multi-RSU Vehicular Ad Hoc Networks (VANETs)

Ali

Chong

Samantha

et al. 2016

Journal of Systems and Software

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“…Lochert et al studied the dissemination of information in VANETs under urban scenarios and further compared the information dissemination effectiveness with and without RSUs; they concluded that a multi-connected RSU environment can significantly improve communication performance [ 15 ]. Shahverdy et al proposed a scheduling algorithm based on multi-RSU architecture to deploy multi-RSU on high-speed backbone connections; each RSU executed two separate queues: (1) Download the request from the start; (2) Resume download [ 16 ]. Wang et al proposed a vehicle-to-infrastructure (V2I) and a vehicle-to-vehicle (V2V) joint communication system through estimation algorithms; they recommended that V2I be used to broadcast information to vehicles within the RSU, and then V2V be used to transmit information to vehicles outside the RSU [ 17 ].…”

Section: Related Workmentioning

confidence: 99%

An Environmentally Sustainable Software-Defined Networking Data Dissemination Method for Mixed Traffic Flows in RSU Clouds with Energy Restriction

2022

IJERPH

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The connected multi road side unit (RSU) environment can be envisioned as the RSU cloud. In this paper, the Software-Defined Networking (SDN) framework is utilized to dynamically reconfigure the RSU clouds for the mixed traffic flows with energy restrictions, which are composed of five categories of vehicles with distinctive communication demands. An environmentally sustainable SDN data dissemination method for safer and greener transportation solutions is thus proposed, aiming to achieve the lowest overall SDN cloud delay with the least working hosts and minimum energy consumption, which is a mixed integer linear programming problem (MILP). To solve the problem, Joint optimization algorithms with Finite resources (JF) in three hyperparameters versions, JF (DW = 0.3, HW = 0.7), JF (DW = 0.5, HW = 0.5) and JF (DW = 0.7, HW = 0.3), were proposed, which are in contrast with single-objective optimization algorithms, the Host Optimization (H) algorithm, and the Delay optimization (D) algorithm. Results show that JF (DW = 0.3, HW = 0.7) and JF (DW = 0.5, HW = 0.5), when compared with the D algorithm, usually had slightly larger cloud delays, but fewer working hosts and energy consumptions, which has vital significance for enhancing energy efficiency and environmental protection, and shows the superiority of JFs over the D algorithm. Meanwhile, the H algorithm had the least working hosts and fewest energy consumptions under the same conditions, but completely ignored the explosive surge of delay, which is not desirable for most cases of the SDN RSU cloud. Further analysis showed that the larger the network topology of the SDN cloud, the harder it was to find a feasible network configuration. Therefore, when designing an environmentally sustainable SDN RSU cloud for the greener future mobility of intelligent transportation systems, its size should be limited or partitioned into a relatively small topology.

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“…In (Shahverdy et al, 2010), researchers continued where (Zhang et al, 2007) left off as the latter paper did not address the application layer and treated each RSU independently.…”

Section: Data Scheduling In Vanetsmentioning

confidence: 99%

Downlink Traffic Scheduling in Green Vehicular Roadside Infrastructure

Hammad

Todd

Karakostas

et al. 2013

IEEE Trans. Veh. Technol.

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Vehicular Ad-hoc Networks (VANETs) will be an integral part of future Intelligent Transportation Systems (ITS). In highway settings where electrical power connections may not be available, road-side infrastructure will often be powered by renewable energy sources, such as solar power. For this reason, energy efficient designs are desirable.This thesis considers the problem of energy efficient downlink scheduling for roadside infrastructure. In the first part of the thesis, the constant bit rate (CBR) air interface case is investigated. Packet-based and timeslot-based scheduling models for the theoretical minimum energy bound are considered. Timeslot-based scheduling is then formulated as a Mixed Integer Linear Program (MILP). Following this, three energy efficient online scheduling algorithms with varying complexity are introduced. Results from a variety of experiments show that the proposed scheduling algorithms perform well when compared to the energy lower bounds.In the second part of the thesis, the variable bit rate (VBR) air interface option is consid-

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Scheduling Algorithm for Vehicle to Road-Side Data Distribution

Cited by 8 publications

References 7 publications

Efficient data dissemination in cooperative multi-RSU Vehicular Ad Hoc Networks (VANETs)

Efficient data dissemination in cooperative multi-RSU Vehicular Ad Hoc Networks (VANETs)

An Environmentally Sustainable Software-Defined Networking Data Dissemination Method for Mixed Traffic Flows in RSU Clouds with Energy Restriction

Downlink Traffic Scheduling in Green Vehicular Roadside Infrastructure

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