scholarly journals Enjoy the Benefit of Network Coding: Combat Pollution Attacks in 5G Multihop Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Jian Li ◽  
Tongtong Li ◽  
Jian Ren ◽  
Han-Chieh Chao

In the upcoming 5G era, many new types of networks will greatly expand the connectivity of the world such as vehicular ad hoc networks (VANETs), Internet of Things (IoT), and device-to-device communications (D2D). Network coding is a promising technology that can significantly improve the throughput and robustness of these emerging 5G multihop networks. However, network coding is generally very fragile to malicious attacks such as message content corruption and node compromise attacks. To take advantage of network coding in performance gain while refraining malicious network attacks is an interesting and challenging research issue. In this paper, we propose a new error-detection and error-correction (EDEC) scheme that can jointly detect and remove the malicious attacks based on the underlying error-control scheme for general multihop networks that can model the 5G multihop networks. The proposed scheme can increase the throughput for network with pollution attacks compared to existing error-detection based schemes. Then we propose a low-density parity check (LDPC) decoding based EDEC (LEDEC) scheme. Our theoretical analysis demonstrates that the LEDEC scheme can further increase the throughput for heavily polluted network environments. We also provide extensive performance evaluation and simulation results to validate the proposed schemes. This research ensures the expected performance gain for the application of network coding in the 5G network under malicious pollution attacks.

Author(s):  
Farhan H. Mirani ◽  
Anthony Busson ◽  
Cedric Adjih

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.


2018 ◽  
Vol 150 ◽  
pp. 06012 ◽  
Author(s):  
Normaliza Omar ◽  
Naimah Yaakob ◽  
Rohani S.M. Farook ◽  
Zulkifli Husin ◽  
Aini Syuhada Md Zain ◽  
...  

Recent technological advancements in wireless communications are fundamentally changing the manner by which devices communicates with one another. Modern wireless devices build networks on their own and aid each other in passing information to any device in the network. The aim of this research is to design and develop a robust routing protocol using network coding technique for Vehicular ad hoc networks (VANET). The purpose of the protocol is to disseminate vehicular traffic to the vehicles approaching the problem area, rather than those leaving the problem area. The designed protocol during the research will be more robust, reliable, and efficient with topology change. In this research, network coding and geographical routing models will be used to develop network coding based VANET routing protocol for alerting vehicles approaching the accident area and emergency message dissemination. The network coding model assumed will serve to increase throughput, in this sense reducing packet loss which will provide a robust broadcast routing protocol.


2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Shujuan Wang ◽  
Qian Zhang ◽  
Shuguang Lu

Vehicular Ad hoc NETworks (VANETs) are becoming an important part of people’s daily life, as they support a wild range of applications and have great potential in critical fields such as accident warning, traffic control and management, infotainment, and value-added services. However, the harsh and stringent transmission environment in VANETs poses a great challenge to the efficient and effective data dissemination for VANETs, which is the essential in supporting and providing the desired applications. To resolve this issue, Instantly Decodable Network Coding (IDNC) technology is applied to stand up to the tough transmission conditions and to advance the performance. This paper proposes a novel admission control method that works well with any IDNC-assisted data dissemination algorithm, to achieve fast and reliable data dissemination in VANETs. Firstly, the proposed admission control strategy classifies the safety-related applications as high priority and the user-related applications as low priority. It then conducts different admission policies on these two prioritized applications’ data. An artfully designed network coding-aware admission policy is proposed to regulate the flow of low-priority data requests and to prevent the network from congestion, through comparing the vectorized distances between the data requests and the encoding packets. Moreover, the carefully planned admission strategy is benefit for maximizing the network coding opportunities by inclining to admit requests which can contribute more to the encoding clique, thus further enhancing the system performance. Simulation results approve that the proposed admission control method achieves clear advantages in terms of delay, deadline miss ratio, and download success ratio.


2020 ◽  
Vol 14 (19) ◽  
pp. 3324-3333
Author(s):  
Xiang Liu ◽  
Jie Huang ◽  
Yiyang Yao ◽  
Chunyang Qi ◽  
Guowen Zong

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