An energy efficient real-time vehicle tracking system

Al‐Mishari, Salman T.; Ababtein, Nor; Dash, Prajna Paramita; Naik, Kshirasagar

doi:10.1109/pacrim.2017.8121884

Cited by 7 publications

(2 citation statements)

References 2 publications

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“…As a part of the transmission, the gadget was applied to track the vehicle for communicating essential information to the other end. Besides, a graphical user interface (GUI) from MATLAB was included in the Recipient section [9].…”

Section: Literature Reviewmentioning

confidence: 99%

Accident Alert System of Vehicle and Life Security using IoT Devices and Image Processing

Mehmood¹,

Kajla²,

Awan³

et al. 2022

JCBI

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In today’s world, higher security deployments are needed, as the expansion of the transportation system has accelerated with time. Road traffic disasters have become a widespread problem in recent years. With the tremendous increase in traffic accidents, the fatality rate among people is quickly expanding. Whenever a mishap occurs on the roadways, it becomes a devastating situation for the victims. As an output result of the proposed model in this article, critical notification regarding the scene of an accident and car number was successfully sent to the pre-programmed number after determining the accident scene. The relevant contacts that were configured and added to the system successfully received an emergency message, providing the exact geographic coordinates of the accident scene. Following the receipt of the message, an audio call with a recorded voice was made to the pre-defined number. Moreover, Global Positioning System (GPS) was used to get the coordinates from the satellite. For this purpose, Global System for Mobile Communications (GSM) was utilized to attain the (GPS) coordinates in the event of an accident. Following on, the current location of an automobile through (GPS) was transmitted to certain contact details that were pre-programmed within the application. The system also reported the severity of the accident, as well as whether a vehicle collided with another vehicle or a disaster occurred to the vehicle itself.

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Section: Literature Reviewmentioning

confidence: 99%

Accident Alert System of Vehicle and Life Security using IoT Devices and Image Processing

Mehmood¹,

Kajla²,

Awan³

et al. 2022

JCBI

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“…Due to collision, data packets are consumed with excess energy which needs to retransmit fault packet for making an error-free system. Energy collection in today's world is being achieved from environmental sources of energy, such as solar, thermal, and vibration, to increase the source of sensor nodes from renewable energy [22][23][24]. us, the CAN protocol uses some fault controlling mechanism such as bit stuffing, acknowledgment verify, cyclic redundancy checking (CRC), and fault signaling, thereby saving power for retransmission of frame [25].…”

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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