A Cross-Layered Theoretical Model of IEEE 1901 Power-Line Communication Networks Considering Retransmission Protocols

Sheng, Hao; Zhang, Hu Yin

doi:10.1109/access.2021.3059246

Cited by 10 publications

(5 citation statements)

References 43 publications

(110 reference statements)

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“…Due to the current situation, and with the aid of modern ICT solutions, it would be fascinating to carry out new studies utilizing, i.e., crowdsourcing methods [47][48][49][50]. A source of inspiration for further studies, including content storing and processing mechanisms, wired and wireless communication media and standards, etc., may be found in [51][52][53][54][55][56][57].…”

Section: Discussionmentioning

confidence: 99%

Analysis of Video Transmission Capabilities in a Simulated OFDM-Based Supplementary BPL-PLC System

Debita¹,

Falkowski-Gilski

Zamłyńska³

et al. 2022

Energies

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The design and maintenance of a reliable communication system, especially in harsh working conditions for the oil and mining industry, brings many challenges. With the use of a video transmission system, one can monitor the crew and their working environment. Broadband over power line–power line communication (BPL-PLC) seems an ideal medium for such a service, since it enables the use of the existing wired infrastructure for supplementary applications. In this paper, we perform a set of simulations for a dedicated wired medium as well as analyses of a visual data transmission system, designed to deliver video content with quadrature amplitude modulation (QAM) and orthogonal frequency division multiplexing (OFDM). We investigate a set of video sequences at 480 × 270 resolution under varying network conditions, including signal-to-noise ratio (SNR) and bit error rate (BER). We perform a subjective evaluation study of video content transmitted over our simulated communication link. The results of this study may aid parties involved in designing additional services for portable devices and user terminals, including reliable means of contact, surveillance and monitoring. The obtained results may be of particular interest to researchers and professionals related to the Industry 4.0 and Internet of things (IoT) concepts.

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Section: Discussionmentioning

confidence: 99%

Analysis of Video Transmission Capabilities in a Simulated OFDM-Based Supplementary BPL-PLC System

Debita¹,

Falkowski-Gilski

Zamłyńska³

et al. 2022

Energies

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“… 𝑠 𝑗𝑘 denotes the probability that 𝑗 would transmit packet 𝑠 to the next-hop, i.e., 𝑘. 𝑇 𝑗𝑘 𝑡𝑟𝑎𝑛𝑠 the cost time that a packet is transmitted from 𝑗 to 𝑘. Based on IEEE 802.11b standard, if node 𝑗 sends packet 𝑠 to 𝑘, it should ensure that other packets are not transmitted in the wireless channel [40,41]. In other words, packet 𝑠 cannot be forwarded until the transmissions of 𝑐𝑜𝑢𝑛𝑡 𝑗𝑘 packets from other interfering nodes (including exposed and hidden terminals) are completed [42,43] (shown in Fig.…”

Section: Idle Energy Prediction Mechanismmentioning

confidence: 99%

“…In addition, since the void node fails to forward packets in the sink direction efficiently, selecting the void node as next-hop would increase energy consumption and data transmission delays, and it would cause the void area to expand and form network partitions, which eventually lead to network collapse [41]. Therefore, packets should be avoided to forward to void nodes.…”

Section: Selection Of Next-hopmentioning

confidence: 99%

A Biodynamics Inspired Routing Algorithm for Energy Harvesting-aided 3-D Wireless Sensor Networks

Hao,

Chen,

Hong

et al. 2024

Preprint

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Energy Harvesting (EH) has emerged as a signiffcant technology capable of constructing future wireless sensor networks (WSNs). Although a signiffcant body of studies has focused on designing routing algorithms for EH-aided WSN so that the harvested energy can be efffciently used, most of them do not adequately consider energy overffow and waste caused by the limited battery capacity and data buffer. In addition, these works only concentrated on twodimensional (2-D) plane scenario. In practical environment, sensor nodes are generally deployed in three-dimensional (3-D) space. In light of the above limitations, a brand-new biodynamics inspired energy-efffcient routing algorithm used for EH-aided 3-D WSN is proposed (BDRATD for short). Firstly, through fully considering the spatial distribution of nodes (including planar and vertical dimensionality), we design a classiffed channel model adapted to 3-D spatial communication conditions. On this basis, an energy assessment model is is built to determine the energy state of nodes. Next, we establish a buffer queuing model to detect the blocking level of nodes. Combining the above models, we further consider the inffuence of IEEE 802.11b medium access control (MAC) protocol, and design an idle energy prediction mechanism to improve power utilization. With the help of hemodynamics, we provide the path selection strategy of BDRA-TD for EH-aided 3-D WSN. Moreover, we analyze the complexity of our algorithm and demonstrate it has convergent property. Extensive simulation results show that our algorithm performs superior in terms of average end-to-end delay, average energy dissipation, packet success ratio, average residual energy and acceptable performance in average energy variance compared to other algorithms.

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“…GA is an efficient and parallel global optimization algorithm [12], which draws on the ideas of evolutionary theory and genetic theory and uses computers to simulate the process of biological evolution and natural selection in nature for artificial intelligence search. Starting from an initial set of solutions or hypothetical solutions, the complex data structure is represented by a simple code, and a new solution is generated by genetic operation through a code change.…”

Section: Related Workmentioning

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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A Cross-Layered Theoretical Model of IEEE 1901 Power-Line Communication Networks Considering Retransmission Protocols

Cited by 10 publications

References 43 publications

Analysis of Video Transmission Capabilities in a Simulated OFDM-Based Supplementary BPL-PLC System

Analysis of Video Transmission Capabilities in a Simulated OFDM-Based Supplementary BPL-PLC System

A Biodynamics Inspired Routing Algorithm for Energy Harvesting-aided 3-D Wireless Sensor Networks

Feature extraction method of HPLC communication signal based on genetic algorithm

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