A Study on Big Data Thinking of the Internet of Things-Based Smart-Connected Car in Conjunction with Controller Area Network Bus and 4G-Long Term Evolution

Kwon, Donghwoon; Park, Suwoo; Ryu, Jeong-Tak

doi:10.3390/sym9080152

Cited by 19 publications

(10 citation statements)

References 11 publications

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“…Consequently, conventional data analytics are not enough to address the big data processing and visualization issues [133]. Thus, data reduction methodologies may require us to rebuild statistical and, sampling methodologies and models for better prediction and interpretation [134].…”

Section: Challengesmentioning

confidence: 99%

Cyber Physical and Social Networks in IoV (CPSN-IoV): A Multimodal Architecture in Edge-Based Networks for Optimal Route Selection Using 5G Technologies

et al. 2020

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Humans are blessed with the intelligence to create links, develop semantic metaphors and models for reasoning; construct rules for decision making; and to form bounded loops for interaction, socialization and knowledge sharing. But machines are inadequate with these extraordinary abilities rather, numerous algorithms and mathematical models can be used to connect physical resources with cyberspaces to control objects and, develop cognitive learning for optimal decision making. Connected users and devices in closed virtual and physical proximity give direction towards the plethora of real-world applications for physical, social and, cyber computing. Because of the increase in social media networking and 5G communication links offer real-time crowdsourcing and sensing as a complementary base for information. Proceeding this idea, in this study we have proposed Cyber-Physical and Social Networks (CPSN) for two fundamental operations in IoV (Internet of Vehicles) as CPSN-IoV; (1) to define conceptual architecture of CPSN-IoV for data-oriented network for smart infrastructure and, (2) to create the significant virtual space where the instances of smart vehicles, devices, and things will have meaningful links with the real world objects where, CPSN-IoV will evolve, emerge, compete, and collaborate with all connected objects to strengthen the decision making process. To investigate the potential impact of our proposed study, we have simulated the taxicab trajectory data of the urban city of Portugal in OMNeT++ for the in-depth understanding of road topology, connected vehicles and things, and their traffic trends; and users' social media streams in respective edge for efficient route planning. The results of simulation demonstrate that our proposed framework has the ability to achieve human-machine intellectual association for managing the smart environment.

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Section: Challengesmentioning

confidence: 99%

Cyber Physical and Social Networks in IoV (CPSN-IoV): A Multimodal Architecture in Edge-Based Networks for Optimal Route Selection Using 5G Technologies

et al. 2020

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“…e CAN incorporates mechanism to design a real-time system with fault tolerance for communication at the time of occurrence of an error [12]. is system generally works in an electrical environment, whereas the communication is affected by electromagnetic interference (EMI) or any internal/ external noise [13]. is noise can lead to reduction of performance of an automotive vehicle [13,14].…”

Section: Introductionmentioning

confidence: 99%

“…is system generally works in an electrical environment, whereas the communication is affected by electromagnetic interference (EMI) or any internal/ external noise [13]. is noise can lead to reduction of performance of an automotive vehicle [13,14]. ere is a reason for causing an error or fault due to the unintended use of automatic repeat request (ARQ) [15].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fault-Tolerant System and Optimal Power Allocation for Smart Vehicles in Smart Cities Using Controller Area Network

Biswal

Singh

Pattanayak

et al. 2021

Security and Communication Networks

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Nowadays, the power consumption and dependable repeated data collection are causing the main issue for fault or collision in controller area network (CAN), which has a great impact for designing autonomous vehicle in smart cities. Whenever a smart vehicle is designed with several sensor nodes, Internet of Things (IoT) modules are linked through CAN for reliable transmission of a message for avoiding collision, but it is failed in communication due to delay and collision in communication of message frame from a source node to the destination. Generally, the emerging role of IoT and vehicles has undoubtedly brought a new path for tomorrow’s cities. The method proposed in this paper is used to gain fault-tolerant capability through Probabilistic Automatic Repeat Request (PARQ) and also Probabilistic Automatic Repeat Request (PARQ) with Fault Impact (PARQ-FI), in addition to providing optimal power allocation in CAN sensor nodes for enhancing the performance of the process and also significantly acting a role for making future smart cities. Several message frames are needed to be retransmitted on PARQ and fault impact (PARQ-FI) calculates the message with a response probability of each node.

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“…Wireless Sensor Networks (WSNs) combined with Cloud makes it easier to share and analyze data on-the-fly, meanwhile providing Sensing as a Service (SaaS) and Sensor Event as a Service (SEaaS) to the clients over the Internet [4]. Applications of WSN, such as weather forecasting [5], health care [6], 3D scene reconstruction [7], smart car [8] have been studied in Cloud environment. However, when considering real-time processing, uploading/downloading to/from Cloud may cause longer latencies due to network transmission or congestion.…”

Section: Introductionmentioning

confidence: 99%

Carbon Oxides Gases for Occupancy Counting and Emergency Control in Fog Environment

et al. 2018

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The information of human occupancy plays a crucial role in building management. For instance, fewer people, less demand for heat and electricity supply, and vice versa. Moreover, when there is a fire in a building, it is convenient to know how many persons in a single room there are in order to plan a more efficient rescue strategy. However, currently most buildings have not installed adequate devices that can be used to count the number of people, and the most popular embedded fire alarm system triggers a warning only when a fire breaks out with plenty of smoke. In view of this constraint, in this paper we propose a carbon oxides gases based warning system to detect potential fire breakouts and to estimate the number of people in the proximity. In order to validate the efficiency of the devised system, we simulate its application in the Fog Computing environment. Furthermore, we also improve the iFogSim by giving data analytics capacity to it. Based on this framework, energy consumption, latency, and network usage of the designed system obtained from iFogSim are compared with those obtained from Cloud environment.

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A Study on Big Data Thinking of the Internet of Things-Based Smart-Connected Car in Conjunction with Controller Area Network Bus and 4G-Long Term Evolution

Cited by 19 publications

References 11 publications

Cyber Physical and Social Networks in IoV (CPSN-IoV): A Multimodal Architecture in Edge-Based Networks for Optimal Route Selection Using 5G Technologies

Cyber Physical and Social Networks in IoV (CPSN-IoV): A Multimodal Architecture in Edge-Based Networks for Optimal Route Selection Using 5G Technologies

Adaptive Fault-Tolerant System and Optimal Power Allocation for Smart Vehicles in Smart Cities Using Controller Area Network

Carbon Oxides Gases for Occupancy Counting and Emergency Control in Fog Environment

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