QoS and robustness of priority-based MAC protocols for the in-car power line communication

Gehrsitz, Thomas; Kellerer, Wolfgang

doi:10.1016/j.vehcom.2017.02.009

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…The WAVE protocol stack uses IEEE 802.11p as MAC layer access mechanism, and combining with enhanced distributed channel-access (EDCA) mechanism [43,44], divides different types of messages into four different types with increasing priority, i.e., AC [0]-AC [3]. The arbitration inter-frame space number (AIFSN) and contention-window (CW) value are set for different categories, which meets the different QoS requirements.…”

Section: Access Managementmentioning

confidence: 99%

Review of MAC Protocols for Vehicular Ad Hoc Networks

Liu

Luo

et al. 2020

Sensors

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Vehicular ad hoc networks (VANETs) need to support the timely end-to-end transmissions of safety and non-safety messages. Medium access control (MAC) protocols can ensure fair and efficient sharing of channel resources among multiple vehicles for VANETs, which can provide timely packet transmissions and significantly improve road safety. In this paper, we review the standards of some countries for VANETs. Then, we divide the MAC protocols proposed for VANETs into single-channel MAC protocols and multi-channel MAC protocols according to the number of physical occupied spectrum resources. Both are further discussed based on their hierarchical structures, i.e., distributed and centralized structures. General design and optimization mechanisms of these commonly used MAC protocols for VANETs are reviewed. From the viewpoint of 7 aspects, we compare the advantages and disadvantages of these typical MAC protocols. Finally, we discuss the open issues to improve the MAC performance and future work on MAC design for VANETs.

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Section: Access Managementmentioning

confidence: 99%

Review of MAC Protocols for Vehicular Ad Hoc Networks

Liu

Luo

et al. 2020

Sensors

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“…Populating the substation area identification instrument and applying it to establish the membership relationship between users and transformers requires significant manpower and material resources. Additionally, accurately and automatically constructing the distribution network topology graph based on the membership relationship also requires further work [11].…”

Section: Introductionmentioning

confidence: 99%

Feature extraction method of HPLC communication signal based on genetic algorithm

Tang¹,

Chang²,

Liang³

et al. 2023

IET Communications

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Communication quality is a key factor affecting the effectiveness of distribution network operation status management. Therefore, it is required that the communication performance of the distribution network management system be good, and the communication signal can directly reflect the communication quality. Therefore, a genetic algorithm (GA) based HPLC communication signal feature extraction method is proposed. The process of constructing reference samples, training recognition models, constructing noise samples, self‐coding denoising processing, and denoising sample recognition has completed the identification of power line channel transmission characteristics. The state feature quantity of the topological line is based on the positioning results of the diagnostic function, and the calculated value of the reflection coefficient calculation model at the head end of the topological line is compared with the measured value. By optimizing the feature quantities containing topological line states through GAs, abnormal feature quantities close to the true state of topological lines are obtained. Experimental analysis shows that this method can correctly identify the position of reactive power compensation in the transmission line, and can also correctly identify the extraction of topological anomaly features. Therefore, the research method is of great significance in improving the safe operation of power systems and extending the service life of topology lines.

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