A fast network coding scheme for mobile wireless sensor networks

Yang, Yuwang; Han, Xu

doi:10.1177/1550147717693241

Cited by 6 publications

(6 citation statements)

References 17 publications

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“…In Deterministic Linear Network Coding (DLNC), the coefficients used by the intermediate nodes to perform the NC are deterministically selected. That is, the coefficients are not randomly selected in the finite field but selected from techniques that aim to optimize the network coding process [41], which means that the validity of the coding scheme is guaranteed. That is, it ensures that encoded messages are linearly independent.…”

Section: Brief Explanation Of the Main Types Of Network Codingmentioning

confidence: 99%

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Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

et al. 2021

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This paper addresses the use of network coding algorithms combined with adequate retransmission techniques to improve the communication reliability of Wireless Sensor Networks (WSN). Basically, we assess the recently proposed Optimized Relay Selection Technique (ORST) operating together with four different retransmission techniques, three of them applying network coding algorithms. The target of this assessment is to analyze the impact upon the communication reliability from each of the proposed retransmission techniques for WSN applications. In addition, this paper presents an extensive state-of-the-art study in what concerns the use of network coding techniques in the WSN context. The initial assumption of this research work was that the ORST operating together network coding would improve the communication reliability of WNS. However, the simulation assessment highlighted that, when using the ORST technique, retransmission without network coding is the better solution.

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Section: Brief Explanation Of the Main Types Of Network Codingmentioning

confidence: 99%

“…In Han et al [41], the authors proposed a NC technique named weighted Vandermonde echelon fast coding (WVEFC). To perform the network coding, the authors use a coding matrix F PC .…”

Section: Network Coding Related Workmentioning

confidence: 99%

Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

et al. 2021

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“…Table 1 presents the comparison of the algorithms and key findings of these studies. In [25], a weighted Vandermonde echelon fast coding scheme is proposed to reduce the dependence problem of the NC matrix with less computational overhead. Similarly, the sliding NC streaming code for ultrareliable low-latency communication (URLLC) using RLNC is proposed in [26].…”

Section: Introductionmentioning

confidence: 99%

Data Dissemination Framework Using Low-Rank Approximation in Edge Networks

Kwon,

Park

2024

IEEE Access

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This paper proposes a reliable data dissemination framework for edge networks, leveraging network coding combined with low-rank approximation. We consider an edge network that consists of a server and power-limited mobile devices, where the data is broadcasted by the server. In such networks, broadcasted data may be lost due to poor channel conditions or the interference incurred by the mobility of edge mobile devices, particularly without a retransmission mechanism. This can cause application errors in edge devices, lower the Quality of Service (QoS), and compromise network stability. To overcome these challenges, we propose a framework for reliable edge networks in broadcasting without retransmissions. The edge network reliability can be achieved by the approximate decoding of broadcasted data. In the proposed framework, the edge server employs matrix factorization to encode data with principal components, ensuring a lower decoding error rate even with potential packet losses. Furthermore, the proposed framework can shift the computational complexity from mobile edge devices to the edge server based on the low-rank approximation at the decoding stage, effectively mitigating power limitations on mobile devices. Through theoretical analysis, we demonstrate that the proposed algorithm outperforms typical broadcasting in terms of decoding accuracy, and present an upper bound error rate for the proposed algorithm. The simulation results confirm that the proposed algorithm outperforms other state-of-the-art algorithms in terms of decoding accuracy, time delay, and complexity.

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“…But while working on heterogeneous data items, network coding has some drawbacks [9]. It does not perform well as it has been on singular data items [29]. It is caused by the encoding technique which is used in network coding [15].…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement of Network Coding for Heterogeneous Data Items with Scheduling Algorithms in Wireless Broadcast

Ema¹,

Hossain²,

Hossain³

et al. 2021

IJACSA

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This is the age of information. Now-a-days everyone communicates with each other by means of digital systems. Humans are always communicating with each other on the go. On-demand broadcasting is an efficient way to broadcast information according to user requests. In an on-demand broadcasting network, anyone can satisfy multiple clients in one broadcast which helps to fulfill the enormous demand of information by clients. The optimized flow of digital data in a network through the transmission of digital evidence about messages is called network coding. The "digital evidence" is composed of two or more messages. Network coding incorporated with data scheduling algorithms can further improve the performance of on-demand broadcasting networks. Using network coding, anyone can broadcast multiple data items using single broadcast strategy which can satisfy the needs of more clients. In this work, it is described that network coding cannot always maintain its superiority over non-network coding when the system handles different sized data items. However, the causes of performance reduction on network coding have been analyzed and THETA based dynamic threshold value integration strategy has been proposed through which the network coding can overcome its limitation for handling heterogeneous data items. In the proposed strategy, THETA based dynamic threshold will control which data item will be selected from the Client Relationship graph (CR-graph) so that large sized data items cannot be encoded with small sized data items. Simulation result shows some interesting performance comparison.

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A fast network coding scheme for mobile wireless sensor networks

Cited by 6 publications

References 17 publications

Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

Data Dissemination Framework Using Low-Rank Approximation in Edge Networks

Performance Improvement of Network Coding for Heterogeneous Data Items with Scheduling Algorithms in Wireless Broadcast

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