Fog-Based Two-Phase Event Monitoring and Data Gathering in Vehicular Sensor Networks

Lai, Yongxuan; Yang, Fan; Su, Jinsong; Zhou, Qifeng; Tian, Weisheng; Zhang, Lu; Xu, Yifan

doi:10.3390/s18010082

Cited by 30 publications

(11 citation statements)

References 40 publications

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“…Sensed events are initially classified in vehicular nodes and again it is classified in RSU. This way of classifying the event tends to high complexity in decision making and also consumes more bandwidth [58]. During safety message broadcasting, vehicular nodes receive many duplicate warning messages thus leads to broadcast storm [57].…”

Section: Problem Definitionmentioning

confidence: 99%

NSSC: Novel Segment Based Safety Message Broadcasting in Cluster-Based Vehicular Sensor Network

Alkhalifa

Almogren

2020

IEEE Access

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Extensive research attention has been devoted to the Vehicular Sensor Network (VSN) owing to its great potential in environment monitoring. Still, it is difficult to diminish the broadcast storm and data collisions in vehicular senor environment. Due to improper broadcasting of safety message and transmission of packet at same time from multiple vehicles leads to collision. Our key intention is to overwhelm these shortcomings in VSN. Hence, we propose Novel Segment based Safety message broadcasting in Cluster (NSSC) based VSN. Our NSSC is mainly concentrated in three successive processes that are Cluster Formation, Collision Avoidance and Safety Message Broadcasting. Cluster formation is performed originally to sustain stable vehicular environment. Here, Variant based Clustering (VbC) Scheme is proposed to elect Cluster Head (CH) and to form clusters. CH is selected using Chaotic Crow Search (CCS) algorithm. In accord to mitigate the data collision during transmission between CH and Cluster Member, we propose Adaptive Carrier Sense Multiple Access/Collision Avoidance (Ada-CSMA/CA) protocol. Safety message broadcasting adopts Segment based Forwarder Selection (SFS) scheme which selects optimal forwarder using Fuzzy-Vikor method. In this, optimal forwarder is selected concerning to broadcast safety message which reduces the broadcast storm. In regard to validate the proposed NSSC, we have conducted simulations on Omnet++ and SUMO simulator based Veins framework. The acquired results are auspicious in terms of succeeding metrics reachability, average number of collision, duplicate data packets, latency, packet delivery ration and throughput.

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Section: Problem Definitionmentioning

confidence: 99%

NSSC: Novel Segment Based Safety Message Broadcasting in Cluster-Based Vehicular Sensor Network

Alkhalifa

Almogren

2020

IEEE Access

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“…Event-monitoring and data-gathering frameworks and quality of service (QoS) optimizations are presented in [15][16][17]. In [18] a VSN air pollution monitoring network based on low-cost gas sensors is presented.…”

Section: Related Workmentioning

confidence: 99%

A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Kolumban-Antal

Lasak

Bogdan

et al. 2020

Sensors

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Air quality in urban environments has become a central issue of our present society as it affects the health and lives of the population all over the world. The first step in mitigating negative effects is proper measurement of the pollution level. This work presents a portable air pollution measurement system, built from off-the-shelf devices, that is designed to assure user privacy and data authenticity. Data is collected from sensor modules that can be hand carried or installed on vehicles, possibly leading to a vehicular sensor network that may cover a larger area. The main challenge is to provide authenticity for the sensor data while also ensuring user privacy. The proposed system assures authenticity and non-repudiation for the collected data by using group signatures and a blockchain-like structure for secure storage. We use regular key-exchange protocols based on elliptic curve cryptography in order to securely bootstrap a session key, then we benefit from secure tunneling to export data from sensors to the remote server. Post-update tampering is prevented by the use of a blockchain-like structure on the data server. We carry experiments both to determine the computational requirements of the procedures, as well as to measure indicators of air quality on nearby areas.

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“…An efficient continuous event monitoring and data collection framework based on fog nodes in the VANET has been proposed by Lai et al 91 A two-level threshold method is adopted to prevent unnecessary data transmission. First, the nodes sense the environment in a low-cost sensing mode.…”

Section: Overview Of the Selected Fog-based Mechanismsmentioning

confidence: 99%

Towards efficient data collection mechanisms in the vehicular ad hoc networks

Pourghebleh

Navimipour

2019

Int J Communication

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Recently, the fast growth of communication technology has led to the design and implementation of different types of networks in different environments. One of these remarkable networks is vehicular ad hoc network (VANET).The ubiquitous connectivity among vehicles is possible through VANET in the absence of fixed infrastructure. Moreover, it provides safety and comfort to people sitting in the vehicles. In this regard, collecting information from vehicles that are moved constantly is an essential challenge. To develop an efficient method for data collection in the VANET, some parameters must be considered such as data aggregation, latency, packet delivery ratio, packet loss, scalability, security, transmission overhead, and vehicle density. Since data collection has a significant importance in the VANET, the aim of this study is to investigate the existing methods and describe the types of important issues and challenging problems that can be addressed in data collection in the VANET. The data collection techniques are investigated in four primary groups, namely, topology-based, cluster-based, geocast-based, and fog-based.Also, the mentioned parameters are important to compare all of the presented techniques. KEYWORDS communication architecture, data collection, VANET, vehicle-to-vehicle communication, vehicular ad hoc networks | INTRODUCTIONOne of the growing disruptive innovation is the Internet of things (IoT), which allows physical devices to communicate over heterogeneous networks. 1-3 Moreover, one of the IoT applications is vehicular ad hoc network (VANET), 4 which has been developed as a powerful technology aimed at providing safety and comfort to people sitting in the vehicles. 5,6 Moreover, it affords wireless communication among vehicles, and dynamic traffic data is transferred with a high accuracy and low cost. 7,8 The VANET is a module of intelligent transportation systems (ITS) and a subdivision of mobile ad hoc network (MANET). 9,10 Typically, the vehicles are armed with sensing equipment and have a high storage and processing capacity. 11 The unique features of the VANETs include higher node density, instability of wireless channel and limited bandwidth, predictability of vehicular pathway, highly dynamic network topology that change quickly and repeatedly, sufficient energy and resources, and hard delay constraints. 12-14 A large scale of VANET is foreseen to be available in the near future because of the rapid growth of vehicles equipped with communication abilities. 15 The data dissemination and the data collection of vehicles are two significant factors supported by VANET. 16

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Fog-Based Two-Phase Event Monitoring and Data Gathering in Vehicular Sensor Networks

Cited by 30 publications

References 40 publications

NSSC: Novel Segment Based Safety Message Broadcasting in Cluster-Based Vehicular Sensor Network

NSSC: Novel Segment Based Safety Message Broadcasting in Cluster-Based Vehicular Sensor Network

A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Towards efficient data collection mechanisms in the vehicular ad hoc networks

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