Internet finance has developed rapidly in the Internet Plus wave, however, some urgent issues, such as security, trustworthiness, and network performance, are emerging. This paper explores these problems for Internet ...
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Internet finance has developed rapidly in the Internet Plus wave, however, some urgent issues, such as security, trustworthiness, and network performance, are emerging. This paper explores these problems for Internet finance. Based on the combination of blockchain and network coding, we propose innovative solutions to overcome these problems for internet finance to promote the development of internet finance. Experimental results and analysis demonstrate that the proposed scheme harvests good performance in terms of security and delay.
In this paper we propose a novel power adapted network coding (PANC) for a non-orthogonal multiple-access relay channel (MARC), where two sources transmit their information simultaneously to the destination with the h...
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Cooperative communications (CC) based on network coding (NC) can significantly increase the capacity of wireless networks. In this paper, we investigate how to apply NC in multi-hop wireless networks with multiple rel...
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ISBN:
(数字)9781728131290
ISBN:
(纸本)9781728131306
Cooperative communications (CC) based on network coding (NC) can significantly increase the capacity of wireless networks. In this paper, we investigate how to apply NC in multi-hop wireless networks with multiple relay nodes and multiple sessions to achieve more practical and general CC based on NC. Based on NC, we consider to jointly optimize relay node selecting, scheduling and flow routing in CC in a multi-hop wireless network. We not only construct a mathematical model but also formulate a maximum-minimum (Max-Min) optimization problem for it. Then we reformulate and solve it with CPLEX. Through simulation, we validate that the achieved rate gain by NC can be greatly improved than the one by CC.
Future wireless networks are expected to serve a dense network of mobile devices with high quality of service using the available bandwidth efficiently. Towards this end, the concept of small cells and cooperative net...
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ISBN:
(数字)9781728163390
ISBN:
(纸本)9781728163406
Future wireless networks are expected to serve a dense network of mobile devices with high quality of service using the available bandwidth efficiently. Towards this end, the concept of small cells and cooperative networks are extensively studied in the 5G and beyond era of wireless communication. network coding can be used to achieve high performance throughput as well as energy saving in wireless networks. However, efficient integrity schemes are necessary for a network coding environment to counter security challenges like pollution attacks and thus to exploit the benefits of network coding. In a network coding enabled mobile small cells, the security schemes can be optimised depending on the security conditions of the small cell deployment. Existing integrity schemes can be modified and optimised to reduce the latency and computational overheads using these conditions. This paper proposes a lightweight security framework for network coding enabled mobile small cells where the integrity check is limited to specific nodes considering the trustiness of the nodes in a small cell.
. Relying on the development of technology, the communication Internet has included not only the traditional Internet but also the Internet of Things (IoT). However, a large number of IoT applications especially video...
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The network coding optimization based on niche genetic algorithm can observably reduce the network overhead of encoding technology, however, security issues haven't been considered in the coding operation. In orde...
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network coding possesses great potentiality in promoting wireless multi-hop network throughput performance. network coding applied in routings includes intra-flow network coding and inter-flow network coding. The aim ...
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Recoding is the unique feature of Random Linear network coding (RLNC). It helps to reduce the number of transmissions. It provides low delay. RLNC is a next-generation network coding technique. Its ability to recover ...
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ISBN:
(数字)9781728168517
ISBN:
(纸本)9781728168524
Recoding is the unique feature of Random Linear network coding (RLNC). It helps to reduce the number of transmissions. It provides low delay. RLNC is a next-generation network coding technique. Its ability to recover packet at the destination, even if there is a packet loss during transmission without retransmission. The receiver can recover back original packets at the destination. The recovery of lost packets is possible with the help of an encoding vector. The encoding vector provides sufficient information at the destination to know what coding coefficients are being used during the encoding process at the sender's side. Here I have successfully demonstrated 4 different concepts in RLNC. They are (i)Multicast sender-receiver (ii) Encode Decode using Random Coefficients (iii) Recoding (iv) Encode Decode on the fly. It is successfully implemented by using heterogeneous architecture and with the help of the Kodo network coding Library. Also, I contributed a survey on the state of the art techniques in RLNC and pointed out the advantages and disadvantages of it. The sliding window is yet another significant concept used in RLNC.
While intra-session network coding has proven to be a promising packet-level forward error correction scheme, recent studies have shown that it can invoke increased packet sizes and excessive overhead. This problem is...
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ISBN:
(数字)9781728183145
ISBN:
(纸本)9781728183152
While intra-session network coding has proven to be a promising packet-level forward error correction scheme, recent studies have shown that it can invoke increased packet sizes and excessive overhead. This problem is especially significant for traffic with heterogeneous packet lengths. Yet, most conducted studies emulate packet loss using length-independent random loss models, ignoring the overhead. In reality, larger packets have a higher probability to get corrupted, e.g., by failing a series of link layer cycling redundancy checks. To analyze the impact of this problem, the here presented study instead applies a bit error model to the encoded traffic, including the coding overhead. We will present formal equations to calculate the impact in terms of frame error rate and packet loss rate before and after decoding. Finally, a trace-based simulation highlights the implications for relevant real-world applications, namely QUIC web browsing, UFTP file transfer, Skype VoIP, and FFmpeg video streaming.
In this paper we introduce Neural network coding (NNC), a data-driven approach to joint source and network coding. In NNC, the encoders at each source and intermediate node, as well as the decoder at each destination ...
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