scholarly journals UAV‐assisted data dissemination based on network coding in vehicular networks

2021 ◽  
Author(s):  
Shidong Huang ◽  
Chuanhe Huang ◽  
Yabo Yin ◽  
Dongfang Wu ◽  
M. Wasim Abbas Ashraf ◽  
...  
Keyword(s):  
Network Coding ◽  
Vehicular Networks ◽  
Data Dissemination

scholarly journals Data Dissemination Based on Fuzzy Logic and Network Coding in Vehicular Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Xiaolan Tang ◽  
Zhi Geng ◽  
Wenlong Chen ◽  
Mojtaba Moharrer
Keyword(s):  
Fuzzy Logic ◽  
Network Coding ◽  
Vehicular Networks ◽  
Data Dissemination ◽  
Smart Cities ◽  
High Reliability ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
Velocity Change ◽  
Backbone Network

Vehicular networks, as a significant technology in intelligent transportation systems, improve the convenience, efficiency, and safety of driving in smart cities. However, because of the high velocity, the frequent topology change, and the limited bandwidth, it is difficult to efficiently propagate data in vehicular networks. This paper proposes a data dissemination scheme based on fuzzy logic and network coding for vehicular networks, named SFN. It uses fuzzy logic to compute a transmission ability for each vehicle by comprehensively considering the effects of three factors: the velocity change rate, the velocity optimization degree, and the channel quality. Then, two nodes with high abilities are selected as primary backbone and slave backbone in every road segment, which propagate data to other vehicles in this segment and forward them to the backbones in the next segment. The backbone network helps to increase the delivery ratio and avoid invalid transmissions. Additionally, network coding is utilized to reduce transmission overhead and accelerate data retransmission in interbackbone forwarding and intrasegment broadcasting. Experiments show that, compared with existing schemes, SFN has a high delivery ratio and a short dissemination delay, while the backbone network keeps high reliability.

CodeDrip: Improving data dissemination for wireless sensor networks with network coding

2017 ◽  
Vol 54 ◽  
pp. 42-52 ◽  
Author(s):  
Nildo dos Santos Ribeiro Júnior ◽  
Rodrigo C. Tavares ◽  
Marcos A.M. Vieira ◽  
Luiz F.M. Vieira ◽  
Omprakash Gnawali
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Coding ◽  
Data Dissemination ◽  
Wireless Sensor

Data Dissemination in Vehicular Networks Using Context Spaces

2015 ◽  
Author(s):  
Cristian Pop ◽  
Radu-Ioan Ciobanu ◽  
Radu-Corneliu Marin ◽  
Ciprian Dobre ◽  
Constandinos X. Mavromoustakis ◽  
...  
Keyword(s):  
Vehicular Networks ◽  
Data Dissemination

scholarly journals DDGS: A Network Coding Scheme for Dynamic Adaptation to Heterogeneous Vehicular Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zongzheng Wang ◽  
Ping Dong ◽  
Tao Zheng ◽  
Hongke Zhang
Keyword(s):  
Network Coding ◽  
Vehicular Networks ◽  
Rapid Development ◽  
Heterogeneous Wireless Networks ◽  
Vehicular Network ◽  
Time Cost ◽  
Transportation Industry ◽  
Network Resources ◽  
Bandwidth Aggregation ◽  
Coding Scheme

The rapid development of the transportation industry has brought about the demand for massive data transmission. In order to make use of a large number of heterogeneous network resources in vehicular network, the research of applying network coding to multipath transmission has become a hot topic. Network coding can better solve the problems of packet reordering and low aggregation efficiency. The determination of coding scale is the key to network coding scheme. However, the existing research cannot adapt to the different characteristics of network resources in vehicular network, leading to larger decoding time cost and lower bandwidth aggregation efficiency. In this paper, we propose a network coding scheme called Delay Determined Group Size (DDGS), which could adaptively adjust the coding group according to the heterogeneous wireless networks state. The mathematical analysis and process design of the DDGS scheme are discussed in detail. Through a large number of simulations, we proved that the DDGS scheme is significantly superior to other coding group determination schemes in terms of decoding time cost and bandwidth aggregation efficiency.

scholarly journals Improving Delay-Based Data Dissemination Protocol in VANETs with Network Coding

2013 ◽  
Vol 2 (3-4) ◽  
Author(s):  
Farhan H. Mirani ◽  
Anthony Busson ◽  
Cedric Adjih
Keyword(s):  
Network Coding ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Dissemination ◽  
Relevant Information ◽  
Opportunistic Network ◽  
Excellent Performance ◽  
Packet Losses ◽  
The Family ◽  
Hoc Networks

In vehicular ad hoc networks (VANETs), for a large number of applications, the destination of relevant information such as alerts, is the whole set of vehicles located inside a given area. Therefore dissemination with efficient broadcast is an essential communication primitive. One of the families of broadcast protocols suitable for such networks, is the family of delay-based broadcast protocols, where farthest receivers retransmit first and where transmissions also act as implicit acknowledgements. For lossless networks, such protocols may approach the optimum efficiency. However with realistic loss models of VANET wireless communication, their performance is noticeably degraded. This is because packet losses have a double effect: directly on the amount of successfully received packets and indirectly with implicit acknowledgement misses. In this article, in order to combat the effects of packet losses, we combine delay-based broadcast with network coding, through a new protocol: Delay-based Opportunistic Network Coding protocol (DONC). By design, DONC aims at cancelling the twofold effects of packet and implicit acknowledgement losses. We describe the details of the DONC protocol, and we study its behavior, with realistic models and simulations. Results illustrate the excellent performance of the protocol.

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