Extending CAN bus with ISA100.11a wireless network

Rezha, Fadillah Purnama; Saputra, Oka Danil; Shin, Soo Young

doi:10.1016/j.csi.2015.04.002

Cited by 8 publications

(3 citation statements)

References 14 publications

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“…The CAN bus protocol was first deployed by the Bosch company on automobiles in early 1980s. It’s a high-speed serial bus protocol which is now widely used in networks consisting of multiple masters [ 34 , 35 ]. All nodes are free to transmit data and orders to the all other nodes inside the control network.…”

Section: Methodsmentioning

confidence: 99%

Development of a Near Ground Remote Sensing System

Zhang

Xiao

Zhuang

et al. 2016

Sensors

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Unmanned Aerial Vehicles (UAVs) have shown great potential in agriculture and are increasingly being developed for agricultural use. There are still a lot of experiments that need to be done to improve their performance and explore new uses, but experiments using UAVs are limited by many conditions like weather and location and the time it takes to prepare for a flight. To promote UAV remote sensing, a near ground remote sensing platform was developed. This platform consists of three major parts: (1) mechanical structures like a horizontal rail, vertical cylinder, and three axes gimbal; (2) power supply and control parts; (3) onboard application components. This platform covers five degrees of freedom (DOFs): horizontal, vertical, pitch, roll, yaw. A stm32 ARM single chip was used as the controller of the whole platform and another stm32 MCU was used to stabilize the gimbal. The gimbal stabilizer communicates with the main controller via a CAN bus. A multispectral camera was mounted on the gimbal. Software written in C++ language was developed as the graphical user interface. Operating parameters were set via this software and the working status was displayed in this software. To test how well the system works, a laser distance meter was used to measure the slide rail’s repeat accuracy. A 3-axis vibration analyzer was used to test the system stability. Test results show that the horizontal repeat accuracy was less than 2 mm; vertical repeat accuracy was less than 1 mm; vibration was less than 2 g and remained at an acceptable level. This system has high accuracy and stability and can therefore be used for various near ground remote sensing studies.

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Section: Methodsmentioning

confidence: 99%

Development of a Near Ground Remote Sensing System

Zhang

Xiao

Zhuang

et al. 2016

Sensors

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“…The wired‐wireless networking ensures the vehicle inter‐connectivity with its environment. CAN compatibility with Intranet and ISA100.11a, which are cost‐effective communication protocols for standard applications, was studied in [67, 68]. Therefore, the obtained co‐networks will be handful in assuring simpler and more reliable: infrastructure‐to‐vehicle (I2V), vehicle‐to‐infrastructure and vehicle‐to‐vehicle communication.…”

Section: Requirements Of Tomorrow's Vehicles and Related Work About Cmentioning

confidence: 99%

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Lakhal

Nasri

Adouane

et al. 2020

IET intell. transp. syst

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The in‐vehicular networked control system is among the most critical embedded processes. The controller area network (CAN) has prevailed intra‐vehicle communication for decades. Meanwhile, requirements of future transportation systems are expected to emphasise the in‐vehicle communication complexity, which endangers the reliability/safety of the intelligent navigation. At first, this study reviews the recent solutions proposed to overcome the CAN expanding complexity. Challenges that tomorrow's intelligent vehicles may raise for CAN reliability are investigated. The comprehensive coverage of current research efforts to remove the impact of these challenges is presented. Further, the in‐vehicle system reliability of future automated vehicles is also related to the fault diagnosis performances. Hence, different classes of system‐level diagnosis strategies are compared relatively to the requirements of automotive embedded networks. Furthermore, to thoroughly cover CAN reliability engineering issues, focus is given to the automotive validation techniques. The hardware in the loop, real‐time analysis and computer‐aided‐design tools intervene in various phases along the in‐vehicular network life cycle. Parameters that stand behind the efficiency and accuracy of these techniques in validating the new generation of vehicles are analysed. The authors finally draw some deductive predictions about the future directions related to the reliability of the intelligent transportation system in‐vehicular communication.

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“…The interoperability of ISA100.11a with CAN protocol is investigated in Ref. [7]. The author proposed a gateway to gather data between ISA100.11a nodes and CAN nodes.…”

Section: Related Workmentioning

confidence: 99%

Real-time based Superframe for ISA100.11a in Wireless Industrial Network

Saputra¹,

Shin²

2015

JCC

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Abstract:In real-time WIN (wireless industrial network), the deadline is one of the main parameter should considered. Due to miss deadline, ultimately network performance decreases even in the worst case can lead to system failure. In this paper, we propose the real-time model of ISA100.11a superframe to enhance the performance of the network. Deadline Monotonic Scheduling is proposed to check the schedulability of superframe and OPNET model is used to evaluate the network performance. The main advantage of getting knowledge about scheduling of the superframe, we can guarantee data transmission and instead decreased the data to missing the deadline. The result show, our propose scheme is completed to pass the scheduling test and network performance increase likewise.

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Extending CAN bus with ISA100.11a wireless network

Cited by 8 publications

References 14 publications

Development of a Near Ground Remote Sensing System

Development of a Near Ground Remote Sensing System

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Real-time based Superframe for ISA100.11a in Wireless Industrial Network

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