Sensor Information Sharing Using a Producer-Consumer Algorithm on Small Vehicles

Vazquez-Lopez, Rodrigo; Lozada, Juan Carlos Herrera; Sandoval-Gutierrez, Jacobo; Bülow, Philipp von; Martinez-Vazquez, Daniel

doi:10.3390/s21093022

Cited by 4 publications

(4 citation statements)

References 53 publications

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“…In recent years, the technology of the Internet of Vehicles and the Internet of Things have developed rapidly. The producer consumer model is introduced into the modeling of multi-vehicle intelligent networking model optimization ( Vazquez-Lopez et al, 2021 ) to solve the problems of information sharing and vehicle positioning between intelligent connected vehicles, which is of great significance to the research of intelligent connected vehicle traffic flow in real life.…”

Section: Theoretical Basismentioning

confidence: 99%

Traffic flow simulation of modified cellular automata model based on producer-consumer algorithm

Deng

Shao

Song

et al. 2022

PeerJ Computer Science

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With the rise of new technologies such as the Internet of Vehicles and the Internet of Things, research on the intelligent connected vehicle has become a hot topic in contemporary times. The modeling and simulation of traffic flow are mainly used to analyze the characteristics of traffic flow and study the formation and dissipation mechanism of traffic congestion to better guide the real traffic. Cellular automata are suitable for the simulation of complex giant systems. Because of the randomness and discreteness of vehicle driving, cellular automata are often used to model and analyze traffic flow. This article mainly studies the traffic flow formed by intelligent connected vehicles. Based on the traditional NaSch model, the producer-consumer algorithm is introduced to form a multi-buffer vehicle information access mode, and an improved cellular automata model with random updates is constructed. The simulation results show that the improved cellular automata model improves the traffic congestion significantly compared with the original NaSch model in the intelligent network environment, which is consistent with the actual traffic situation. Therefore, the algorithm proposed in this article can effectively simulate the traffic flow characteristics of intelligent connected vehicles, and provide a theoretical basis for solving traffic problems.

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Section: Theoretical Basismentioning

confidence: 99%

Traffic flow simulation of modified cellular automata model based on producer-consumer algorithm

Deng

Shao

Song

et al. 2022

PeerJ Computer Science

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“…The DWM1000 module is used in this experiment was an IEEE802.15.4-2011 Ultra-Wideband (UWB) compliant wireless transceiver module based on Decawave's DMW1000 Integrated Circuit (IC). The precision of this module is said to be within ± 10 cm, offering 6.8 Mbps communication capability [23]. The UWB signal offers a wide range of benefits, including causing no disturbance to other wireless technologies and superior multipath performance.…”

Section: Hardware Designmentioning

confidence: 99%

An IoT-Based Approach for Learning Geometric Shapes in Early Childhood

et al. 2022

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In today's world, technology has assumed an indispensable role in everyday life. However, though developments in the Internet of Things (IoT) have laid a foundation achieving different educational purposes, IoT is not being employed to its full potential. A separate issue is that the topic of geometry has been neglected or received only limited attention in schools, particularly in the early years. Moreover, as geometry is of paramount importance, the idea of teaching geometry in early childhood should be investigated. This paper proposes an IoT-based approach for teaching basic geometric shapes to children aged 5 to 6. Specifically, five nodes were designed to act as the vertices of shapes. In addition, educational videos comprising three sections -identification, recognition, and recollection -were provided. Using a sample of 35 boys the proposed solution was assessed in terms of its effect on learning outcomes and the learning process using pre-test, simultaneous test, and post-tests. The findings revealed a noticeable improvement in learning outcomes. Furthermore, the proposed approach made learning enjoyable, which, compared to the traditional approach toward learning geometric shapes, is considered an improvement.INDEX TERMS Internet of Things, Early Childhood Education, Geometry, Geometric Shapes I. INTRODUCTIONT HE Internet of Things (IoT), as an emerging technology,

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“…Modern smartphones are equipped with numerous sensors (inertial sensors, camera, barometer) and communication modules (WiFi, Bluetooth, NFC, LTE/5G, ultra-wideband), which enable the implementation of different localization algorithms, namely visual localization, inertial navigation system and radio localization [ 1 ]. For the mapping of indoor environment and localization of autonomous mobile systems, LIDAR sensor is also commonly used besides smartphone sensors [ 2 , 5 , 6 ]. Since visual localization and the inertial navigation systems (INS) are sensitive to external disturbances, the sensor fusion approaches based on Kalman filters and (deep) neural networks can be used to implement robust localization algorithms, as proposed in [ 3 , 7 ].…”

mentioning

confidence: 99%

“…The latter generally uses fingerprints of environmental features such as sound, light, magnetic field, or is based on smartphone sensors (e.g., accelerometer, gyroscope, etc.). Infrastructure-based methods can use pre-installed visual sensors or wireless technologies such as ZigBee, WiFi, Ultra-Wideband (UWB) [ 2 , 6 ], Radio Frequency Identification (RFID) [ 5 ], and Bluetooth Low Energy (BLE) [ 1 ]. An infrastructure-based indoor positioning system can be expensive, either because of the methods required or because of the expensive hardware components.…”

mentioning

confidence: 99%