Topology Management and TSCH Scheduling for Low-Latency Convergecast in In-Vehicle WSNs

Tavakoli, Rasool; Nabi, Majid; Basten, Twan; Goossens, Kees

doi:10.1109/tii.2018.2853986

Cited by 32 publications

(19 citation statements)

References 31 publications

(37 reference statements)

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“…A taxonomy of the scientific works about WSN/WSAN referred to in this paper, categorized according to the specific aspects they investigate, is reported in Table 1. [20], [24]- [27], [31] IEEE 802.15.4 specifications [21], [28] Scheduling and TSCH configuration [32]- [38] Mathematical models [19], [20], [39]- [42] WSN/WSAN high-level protocols [43] (6P), [44] (RPL), [45] (CoAP) Power consumption [11]- [15], [46], [47]…”

Section: Tschmentioning

confidence: 99%

Wireless Sensor Networks and TSCH: A Compromise Between Reliability, Power Consumption, and Latency

et al. 2020

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Reliability, power consumption, and latency are the three main performance indicators of wireless sensor networks. Time slotted channel hopping (TSCH) is a promising technique introduced in the IEEE 802.15.4 standard that performs some steps ahead in the direction of the final dream to meet all the previous requirements at the same time. In this paper, a simple and effective mathematical model is presented for TSCH that, starting from measurements performed on a real testbed, permits to characterize both the network and the surrounding environment. To better characterize power consumption, an experimental measurement campaign was purposely performed on OpenMote B devices. The model, which was checked against a real 6TiSCH implementation, can be employed to predict network behaviour when configuration parameters are varied, in such a way to satisfy different application contexts. Results show that, when one of the three above indices is privileged, unavoidably there is a worsening of the others.

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Section: Tschmentioning

confidence: 99%

Wireless Sensor Networks and TSCH: A Compromise Between Reliability, Power Consumption, and Latency

et al. 2020

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“…Due to its harmonious features with the native protocol, WCAN chances in succeeding and predominating the I2V communication are strong. Likewise, the compatibility between heterogeneous IVNCSs with wireless sensor networks is expected to reduce wiring [71].…”

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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“…According to the above analysis and related literatures [12][13][14], some empirical values can be given. In order to minimize the time average power consumption of the system, we can describe the problem as the following optimization problem:…”

Section: A Tsch Network Scheduling Modelmentioning

confidence: 99%

Optimization of Time and Power Resources Allocation in Communication Systems Under the Industrial Internet of Things

Wang

2020

IEEE Access

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In the Industrial Internet of Things (IIoT), it is an urgent task to reduce power loss and enhance energy efficient through reasonable allocation of resources. Inspired by time slot channel frequency hopping, this paper puts forward a dynamic allocation model for time and power resources. Based on the proposed model, a dynamic resource allocation algorithm was designed to reduce energy consumption. In addition, a power and time allocation algorithm was developed to maximize the energy efficiency of the system. The workflows of the two algorithms were introduced in details. Simulation results show that both dynamic resource allocation algorithm could reduce the energy loss of the communication system, while ensuring the stability of the data queue. The research findings help to promote the performance of communication systems in different scenarios of the IIoT.

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Topology Management and TSCH Scheduling for Low-Latency Convergecast in In-Vehicle WSNs

Cited by 32 publications

References 31 publications

Wireless Sensor Networks and TSCH: A Compromise Between Reliability, Power Consumption, and Latency

Wireless Sensor Networks and TSCH: A Compromise Between Reliability, Power Consumption, and Latency

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

Optimization of Time and Power Resources Allocation in Communication Systems Under the Industrial Internet of Things

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