Event Notification in VANET With Capacitated Roadside Units

Mukherjee, Joy Chandra; Gupta, Arobinda; Sreenivas, Ravella Chaitanya

doi:10.1109/tits.2015.2511145

Cited by 15 publications

(5 citation statements)

References 13 publications

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“…Second, there are also several works on RSU scheduling [21]- [24]. These works mainly get a collaborative strategy of multi-RSUs to make the whole system optimal.…”

Section: B Rsu Schedulingmentioning

confidence: 99%

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Destination Prediction-Based Scheduling Algorithms for Message Delivery in IoVs

Wang¹,

Li²,

He³

et al. 2020

IEEE Access

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Destination related applications are playing an important role in Internet of Vehicles(IoVs), which can provide people with convenience or business profit, such as traffic jam warning or parking guide. However, in reality, people hesitate to share their destination information to other people due to operation inconvenience, which requires service providers to predict vehicles' destinations in advance in order to deliver them destination related messages. Some papers have considered the delivery scheduling problem of destination related information. But, they neglect the destination prediction problem with the assumption that vehicle's destinations are known in advance. In this paper, we target the delivery scheduling problem of destination related information in the case of destinations unknown to others in IoVs. First, a realtime destination prediction framework with machine learning models is proposed, with which a vehicle's destination can be predicted while traveling. Then, we propose a delivery profit maximization algorithm for service providers to select a proper location to deliver destination related information to each vehicle. Simulations with real vehicle trajectories show that our scheduling algorithm performs well and can successfully select a proper location to disseminate destination related information.

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“…Second, there are also several works on RSU scheduling [21]- [24]. These works mainly get a collaborative strategy of multi-RSUs to make the whole system optimal.…”

Section: B Rsu Schedulingmentioning

confidence: 99%

“…These works mainly get a collaborative strategy of multi-RSUs to make the whole system optimal. Compared with [21], [23] proposes a framework considering low cost dissemination of events. Each RSU can disseminate only a finite number of events at a certain time and has a cost associated with each RSU.…”

Section: B Rsu Schedulingmentioning

confidence: 99%

Destination Prediction-Based Scheduling Algorithms for Message Delivery in IoVs

Wang¹,

Li²,

He³

et al. 2020

IEEE Access

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“…An event notification framework proposes an event publishing and subscription notification (Mukherjee et al, 2016). The event dissemination from the road side units are controlled by the service providers.…”

Section: Review On Energy Efficient Data Disseminationmentioning

confidence: 99%

Data dissemination for green-VANETs communication: an opportunistic optimization approach

Dhasarathan¹,

Dumka

Dhilipkumar

et al. 2020

IJPCC

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Purpose This paper aims to predict the traffic and helps to find a solution. Unpredictable traffic leads more vehicles on the road. The result of which is one of the factors that aggravate traffic congestion. Traffic congestion occurs when the available transport resources are less when compared to the number of vehicles that share the resource. As the number of vehicles increases the resources become scarce and congestion is more. Design/methodology/approach The population of the urban areas keeps increasing as the people move toward the cities in search of jobs and a better lifestyle. This leads to an increase in the number of vehicles on the road. However, the transport network, which is accessible to the citizens is less when compared to their demand. Findings The demand for resources is higher than the actual capacity of the roads and the streets. There are some circumstances, which will aggravate traffic congestion. The circumstances can be the road condition (pot holes and road repair), accidents and some natural calamities. Originality/value There is a lot of research being done to predict the traffic and model it to find a solution, which will make the condition better. However, still, it is an open issue. The accuracy of the predictions done is less.

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“…By enabling vehicles to communicate with one another and creating a large network with vehicles acting as the network nodes, various types of information (e.g., traffic conditions, advertising news and e-coupons) can be shared among vehicles. Interconnected by means of vehicle-to-vehicle (V2V) communications, VANETs can exchange information about the states of vehicles and roads, as well as provide infotainment services [ 2 , 3 ]. Especially, with the considerable demands of sensing and transmitting data for services, the vehicles can be regarded as mobile sensors, which can sense real-time vehicular surroundings [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

EDDA: An Efficient Distributed Data Replication Algorithm in VANETs

Zhu

Huang

Fan

et al. 2018

Sensors

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Efficient data dissemination in vehicular ad hoc networks (VANETs) is a challenging issue due to the dynamic nature of the network. To improve the performance of data dissemination, we study distributed data replication algorithms in VANETs for exchanging information and computing in an arbitrarily-connected network of vehicle nodes. To achieve low dissemination delay and improve the network performance, we control the number of message copies that can be disseminated in the network and then propose an efficient distributed data replication algorithm (EDDA). The key idea is to let the data carrier distribute the data dissemination tasks to multiple nodes to speed up the dissemination process. We calculate the number of communication stages for the network to enter into a balanced status and show that the proposed distributed algorithm can converge to a consensus in a small number of communication stages. Most of the theoretical results described in this paper are to study the complexity of network convergence. The lower bound and upper bound are also provided in the analysis of the algorithm. Simulation results show that the proposed EDDA can efficiently disseminate messages to vehicles in a specific area with low dissemination delay and system overhead.

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Event Notification in VANET With Capacitated Roadside Units

Cited by 15 publications

References 13 publications

Destination Prediction-Based Scheduling Algorithms for Message Delivery in IoVs

Destination Prediction-Based Scheduling Algorithms for Message Delivery in IoVs

Data dissemination for green-VANETs communication: an opportunistic optimization approach

EDDA: An Efficient Distributed Data Replication Algorithm in VANETs

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