scholarly journals Network Coding for Efficient Video Multicast in Device-to-Device Communications

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2254 ◽  
Author(s):  
Lei Wang ◽  
Yulong Li ◽  
Bo Pan ◽  
Qiuwei Wu ◽  
Jun Yin ◽  
...  
Keyword(s):  
Network Coding ◽  
Packet Loss ◽  
Loss Rate ◽  
Transmission Rate ◽  
Packet Loss Rate ◽  
Source Node ◽  
Video Multicast ◽  
Data Packets ◽  
Device To Device ◽  
Efficient Video

Device-to-Device (D2D) communication is one of the critical technologies for the fifth-generation network, which allows devices to communicate directly with each other while increasing transmission rate, but this communication is vulnerable to interference. When video transmission is carried out in an environment with interference, problems such as high packet loss rate, poor quality of the video, and blurred screen may exist. These problems can be effectively solved by redundant coding operations at the source node, but the extra coding operation imposes a heavy computational burden on the source node. In order to alleviate the computational overhead of the source node, reduce transmission delay, and guarantee transmission quality, this paper proposes an efficient video multicast transmission scheme based on Random Linear Network Coding (RLNC) in D2D networks. In the scheme, the receiving devices in the transmission participate in the process of generating repair packets that are used to remedy the loss of encoded packets during transmission. The source node multicasts the encoded video file. The receiving nodes re-encode the received data packets with RLNC and then send them to the network again. The nearby nodes can decode the original data through the encoded or re-encoded data packets. The performance of the proposed scheme is evaluated through both simulation and real experiments. The experimental results show that compared with the traditional RLNC scheme, this scheme could balance the computation overhead of the mobile devices and reduce the encoding and decoding delay by about 8%. When the packet loss rate is high, the proposed scheme can obtain better video quality than the traditional replication-based scheme.

Research and Design of Transmission Rate Adaptive Control in Public Video Monitoring System

2011 ◽  
Vol 201-203 ◽  
pp. 1481-1485
Author(s):  
Lu Hai Mei ◽  
Wen Bing Jin
Keyword(s):  
Adaptive Control ◽  
Monitoring System ◽  
Packet Loss ◽  
Loss Rate ◽  
Transmission Rate ◽  
Packet Loss Rate ◽  
Video Monitoring ◽  
Network Congestion ◽  
Network Bandwidth ◽  
Rate Adaptive

In order to solve the practical technology problems in the field of public video monitoring system engineering, in this paper, a real-time video transmission rate adaptive control programming in public video monitoring system is introduced. The system can monitor network congestion status according to the parameters such as network transmission time, transmission delay and data packet loss rate, and dynamically adjust the output rate of the video transmitter according to a certain algorithm of adaptive control of transmission rate, it has certain robustness, and improved the quality of video output. Experimental test results show that the contrast effect is better in reducing video packet loss rate, improving network bandwidth utilization or avoiding network congestion.

High Loss Improved Broadcasting Retransmission Approach Based on Network Coding

2014 ◽  
Vol 1021 ◽  
pp. 261-265
Author(s):  
Hang Liu ◽  
Jie Li ◽  
Guang Chen
Keyword(s):  
Wireless Networks ◽  
Network Coding ◽  
Packet Loss ◽  
Loss Rate ◽  
Packet Loss Rate ◽  
High Loss ◽  
Simulation Results

When the packet loss rate is high in the wireless networks, the performance of network coding wireless broadcasting retransmission scheme becomes worse. Aiming at the problem of network coding wireless broadcasting retransmission scheme, high loss improved broadcasting retransmission approach based on network coding is proposed. Simulation results demonstrate that compared with the traditional wireless broadcasting retransmission scheme and the network coding wireless broadcasting retransmission scheme, high loss improved broadcasting retransmission approach based on network coding can ensure the ensure the reliability and effectiveness of the transmission in wireless broadcasting network.

scholarly journals Multivariate Weighted Isotonic Regressive Modest Adaptive Boosting Based Resource-Aware Routing In WSN

2021 ◽  
Author(s):  
N. Muruganandam ◽  
V. Venkatraman ◽  
R. Venkatesan
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Loss Rate ◽  
Packet Loss Rate ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Adaptive Boosting ◽  
Data Packets ◽  
Packet Delivery ◽  
Resource Aware

Abstract WSN includes a scenario where huge amount of sensor nodes are distributed to monitor environmental conditions with route collected data towards sinks via the internet. WSNs efficiently manage the wider network with available resources, such as residual energy and wireless channel bandwidth. Therefore, routing algorithm is important to enhance battery-constrained networks. Many existing techniques are developed for balancing consumption of energy but efficient routing was not achieved. Multivariate Weighted Isotonic Regressive Modest Adaptive Boosting based Resource Aware Routing (MWIRMAB-RAR) technique is introduced for enhancing routing. The MWIRMAB-RAR technique includes a different process namely resource-aware node selection, route path discovery, and data transmission. Initially, the MWIRMAB-RAR technique uses the Modest Adaptive Boosting technique uses the Multivariate Weighted Isotonic Regression function for detecting resource-efficient sensor nodes for effective data transmission. After that, multiple route paths are established based on the time of flight method. After establishes route path, source node sends data packets to sink node via resource-efficient nodes. The data delivery was enhanced and minimizes packet loss as well as delay. The simulation analysis is carried out on certain performance factors such as energy consumption, packet delivery ratio, packet loss rate, and delay with number of data packets and sensor nodes. The obtained evaluation indicates MWIRMAB-RAR outperforms well in terms of increasing data packet delivery and reduces consumption of energy, packet loss rate, and delay.

Packet loss rate monitoring model of IOT based on differential evolution algorithm

2021 ◽  
pp. 1-12
Author(s):  
Yinghua Feng ◽  
Wei Yang
Keyword(s):  
Internet Of Things ◽  
Differential Evolution ◽  
Packet Loss ◽  
Loss Rate ◽  
Differential Evolution Algorithm ◽  
Packet Loss Rate ◽  
Data Space ◽  
Monitoring Model ◽  
Evolution Algorithm ◽  
The Internet Of Things

In order to overcome the problems of high energy consumption and low execution efficiency of traditional Internet of things (IOT) packet loss rate monitoring model, a new packet loss rate monitoring model based on differential evolution algorithm is proposed. The similarity between each data point in the data space of the Internet of things is set as the data gravity. On the basis of the data gravity, combined with the law of gravity in the data space, the gravity of different data is calculated. At the same time, the size of the data gravity is compared, and the data are classified. Through the classification results, the packet loss rate monitoring model of the Internet of things is established. Differential evolution algorithm is used to solve the model to obtain the best monitoring scheme to ensure the security of network data transmission. The experimental results show that the proposed model can effectively reduce the data acquisition overhead and energy consumption, and improve the execution efficiency of the model. The maximum monitoring efficiency is 99.74%.

scholarly journals Sensing Coverage Algorithm of Sparse Mobile Sensor Node with Trade-Off between Packet Loss Rate and Transmission Delay

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Kehua Zhao ◽  
Yourong Chen ◽  
Siyi Lu ◽  
Banteng Liu ◽  
Tiaojuan Ren ◽  
...  
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Loss Rate ◽  
Packet Loss Rate ◽  
Transmission Delay ◽  
Sensor Nodes ◽  
Mobile Sensor ◽  
Sensing Coverage ◽  
Mobile Sensor Node ◽  
Monitoring Area

To solve the problem of sensing coverage of sparse wireless sensor networks, the movement of sensor nodes is considered and a sensing coverage algorithm of sparse mobile sensor node with trade-off between packet loss rate and transmission delay (SCA_SM) is proposed. Firstly, SCA_SM divides the monitoring area into several grids of same size and establishes a path planning model of multisensor nodes’ movement. Secondly, the social foraging behavior of Escherichia coli in bacterial foraging is used. A fitness function formula of sensor nodes’ moving paths is proposed. The optimal moving paths of all mobile sensor nodes which can cover the entire monitoring area are obtained through the operations of chemotaxis, replication, and migration. The simulation results show that SCA_SM can fully cover the monitoring area and reduce the packet loss rate and data transmission delay in the process of data transmission. Under certain conditions, SCA_SM is better than RAND_D, HILBERT, and TCM.

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