scholarly journals Hybrid Task Coordination Using Multi-Hop Communication in Volunteer Computing-Based VANETs

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2718
Author(s):  
Abdul Waheed ◽  
Munam Ali Shah ◽  
Abid Khan ◽  
Carsten Maple ◽  
Ikram Ullah
Keyword(s):  
Resource Utilization ◽  
Traffic Congestion ◽  
Vehicular Networks ◽  
Ad Hoc ◽  
Computation Offloading ◽  
Volunteer Computing ◽  
Hybrid Technique ◽  
Task Coordination ◽  
Coordination Model ◽  
Computing Services

Computation offloading is a process that provides computing services to vehicles with computation sensitive jobs. Volunteer Computing-Based Vehicular Ad-hoc Networking (VCBV) is envisioned as a promising solution to perform task executions in vehicular networks using an emerging concept known as vehicle-as-a-resource (VaaR). In VCBV systems, offloading is the primary technique used for the execution of delay-sensitive applications which rely on surplus resource utilization. To leverage the surplus resources arising in periods of traffic congestion, we propose a hybrid VCBV task coordination model which performs the resource utilization for task execution in a multi-hop fashion. We propose an algorithm for the determination of boundary relay vehicles to minimize the requirement of placement for multiple road-side units (RSUs). We propose algorithms for primary and secondary task coordination using hybrid VCBV. Extensive simulations show that the hybrid technique for task coordination can increase the system utility, while the latency constraints are addressed.

scholarly journals Building, Sharing and Exploiting Spatio-Temporal Aggregates in Vehicular Networks

2014 ◽  
Vol 10 (3) ◽  
pp. 259-285 ◽  
Author(s):  
Dorsaf Zekri ◽  
Bruno Defude ◽  
Thierry Delot
Keyword(s):  
Data Aggregation ◽  
Traffic Congestion ◽  
Vehicular Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Parking Space ◽  
Aggregation Structure ◽  
Global Demand ◽  
Spatio Temporal ◽  
Hoc Networks

This article focuses on data aggregation in vehicular ad hoc networks (VANETs). In such networks, data produced by sensors or crowdsourcers are exchanged between vehicles in order to warn or inform drivers when an event occurs (e.g., an accident, a traffic congestion, a parking space released, a vehicle with non-functioning brake lights, etc.). In the following, we propose to generate spatio-temporal aggregates containing these data in order to keep a summary of past events. We therefore use Flajolet-Martin sketches. Our goal is then to exploit these aggregates to better assist the drivers. These aggregates may indeed produce additional knowledge that may be useful when no event has been recently transmitted by surrounding vehicles or when some knowledge about the global demand may improve the decision that need to be taken at the vehicle level. To prove the effectiveness of our approach, an extensive experimental evaluation has been performed considering vehicles looking for an available parking space, that proves the interest of our proposal. The experimentations indeed show that the use of our aggregation structure significantly reduces the time needed to actually find a parking space. It also increases the percentage of vehicles finding such a resource in a bounded time in congested situations.

scholarly journals A Survey on Applications of Reinforcement Learning in Flying Ad-Hoc Networks

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 449
Author(s):  
Sifat Rezwan ◽  
Wooyeol Choi
Keyword(s):  
Reinforcement Learning ◽  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Routing Protocol ◽  
Traffic Congestion ◽  
Ad Hoc ◽  
High Mobility ◽  
Flight Trajectory ◽  
Research Issues ◽  
Hoc Networks

Flying ad-hoc networks (FANET) are one of the most important branches of wireless ad-hoc networks, consisting of multiple unmanned air vehicles (UAVs) performing assigned tasks and communicating with each other. Nowadays FANETs are being used for commercial and civilian applications such as handling traffic congestion, remote data collection, remote sensing, network relaying, and delivering products. However, there are some major challenges, such as adaptive routing protocols, flight trajectory selection, energy limitations, charging, and autonomous deployment that need to be addressed in FANETs. Several researchers have been working for the last few years to resolve these problems. The main obstacles are the high mobility and unpredictable changes in the topology of FANETs. Hence, many researchers have introduced reinforcement learning (RL) algorithms in FANETs to overcome these shortcomings. In this study, we comprehensively surveyed and qualitatively compared the applications of RL in different scenarios of FANETs such as routing protocol, flight trajectory selection, relaying, and charging. We also discuss open research issues that can provide researchers with clear and direct insights for further research.

Traffic Congestion Reduction and Accident Circumvention System via Incorporation of CAV and VANET

2021 ◽  
Vol 12 (1) ◽  
pp. 53-72
Author(s):  
Mohsin Khan ◽  
Bhavna Arora
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Traffic Congestion ◽  
Ad Hoc Network ◽  
Discrete System ◽  
Ad Hoc ◽  
New Age ◽  
The Real ◽  
Automated Vehicle ◽  
The Core

Connected automated vehicle (CAV) technology is the core for the new age vehicles in research phase to communicate with one another and assimilation of vehicular ad-hoc network (VANET) for the transference of data between vehicles at a quantified place and time. This manuscript is an enactment of the algorithms associated to the maintenance of secure distance amongst vehicles, lane shifting, and overtaking, which will diminish the occurrence of collisions and congestions especially phantom jams. Those implementations are centered over CAV and VANET technology for the interconnection of the vehicles and the data transmission. The data is associated to the aspects of a vehicle such as speed, position, acceleration, and acknowledgements, which acts as the fundamentals for the computation of variables. In accordance with the environment of a particular vehicle (i.e., its surrounding vehicles), real-time decisions are taken based on the real-time computation of the variables in a discrete system.

scholarly journals Computation Offloading and Resource Allocation in Vehicular Networks Based on Dual-Side Cost Minimization

2019 ◽  
Vol 68 (2) ◽  
pp. 1079-1092 ◽  
Author(s):  
Jianbo Du ◽  
F. Richard Yu ◽  
Xiaoli Chu ◽  
Jie Feng ◽  
Guangyue Lu
Keyword(s):  
Resource Allocation ◽  
Vehicular Networks ◽  
Cost Minimization ◽  
Computation Offloading

scholarly journals A Cooperative Communication Protocol for QoS Provisioning in IEEE 802.11p/Wave Vehicular Networks

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3622 ◽  
Author(s):  
Jin-Woo Kim ◽  
Jae-Wan Kim ◽  
Dong-Keun Jeon
Keyword(s):  
Cooperative Communication ◽  
Vehicular Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Communication Protocol ◽  
Ieee 802.11P ◽  
The Road ◽  
Free Data ◽  
On The Road ◽  
Hoc Networks

Vehicular ad hoc networks (VANETs) provide information and entertainment to drivers for safe and enjoyable driving. Wireless Access in Vehicular Environments (WAVE) is designed for VANETs to provide services efficiently. In particular, infotainment services are crucial to leverage market penetration and deployment costs of the WAVE standard. However, a low presence of infrastructure results in a shadow zone on the road and a link disconnection. The link disconnection is an obstacle to providing safety and infotainment services and becomes an obstacle to the deployment of the WAVE standard. In this paper, we propose a cooperative communication protocol to reduce performance degradation due to frequent link disconnection in the road environment. The proposed protocol provides contention-free data delivery by the coordination of roadside units (RSUs) and can provide the network QoS. The proposed protocol is shown to enhance throughput and delay through the simulation.

scholarly journals A Novel Clustering Algorithm Based on Agent Technology for VANET

2016 ◽  
Vol 8 (2) ◽  
pp. 1 ◽  
Author(s):  
Samira Harrabi ◽  
Ines Ben Jaafar ◽  
Khaled Ghedira
Keyword(s):  
Traffic Congestion ◽  
Ad Hoc Network ◽  
Clustering Algorithm ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Clustering Algorithms ◽  
High Mobility ◽  
Agent Technology ◽  
Related Data ◽  
Network Overhead

Vehicular Ad-hoc Network (VANET) is a sub-family of Mobile Ad-hoc Network (MANET).The means goal of VANET is to provide communications between nearby nodes or between nodes and fixed infrastructure. Despite that VANET is considered as a subclass of MANET, it has for particularity the high mobility of vehicles producing the frequent changes of network topology that involve changing of road, varying node density and locations of vehicles existing in this road. That‘s why, the most proposed clustering algorithms for MANET are unsuitable for VANET. Various searches have been recently published deal with clustering for VANETs. But most of them are focused on minimizing network overhead value, number of created clusters and had not considered the vehicles interests which defined as any related data used to differentiate vehicle from another (such as traffic congestion, looking for free parking space etc). In this paper, we propose a novel clustering algorithm based on agent technology to solve the problems mentioned above and improve routing in VANET. Experimental part show promising results regarding the adoption of the proposed approach.

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