Results 281 to 290 of about 624,831 (326)
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A queueing model for random linear coding
MILCOM 2007 - IEEE Military Communications Conference, 2007In this work we consider coding over packets that randomly arrive to a source node for transmission to a single destination. We present a queueing model for a random linear coding scheme that adapts to the amount of traffic at the source node. If there is only one packet in the queue when the channel becomes free, then reliable transmission is carried ...
Brooke Shrader, Anthony Ephremides
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On latency reductions in vehicle-to-vehicle networks by random linear network coding
China Communications, 2021In the Internet of vehicles (IoV), direct communication between vehicles, i.e., vehicle-to-vehicle (V2V) may have lower latency, compared to the schemes with help of Road Side Unit (RSU) or base station. In this paper, the scenario where the demands of a
Tiantian Zhu +3 more
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A multivariate cryptosystem inspired by random linear codes
Finite Fields and Their Applications, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel Smith-Tone, Cristina Tone
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On enhancing the random linear network coding
2011 17th IEEE International Conference on Networks, 2011Network coding is a promising technology which allows coding of multiple packets in routers. Random linear network coding (RLNC), a distributed network coding scheme, insists each node to forward independent random linear combinations of incoming packets through its outgoing links.
M. S. Najeem, C. Siva Ram Murthy
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Downloader-Initiated Random Linear Network Coding for Peer-to-Peer File Sharing
Network coding has recently drawn tremendous attention. Applying network coding to Peer-to-Peer (P2P) file sharing is still a relatively new area of study.
Nirwan Ansari
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A secure algorithm for Random Linear Network Coding
2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), 2020Random Linear Network Coding has been first introduced as a tool to maximize information flow across a network. This paradigm has been later proven to possess inherent weak security that arises from packet mixing. Motivated by this observation, an algorithm for secure data transmission using Random Linear Network Coding is proposed in this paper.
Mohamed Amine Brahimi, Fatiha Merazka
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On the Delay Distribution of Random Linear Network Coding
IEEE Journal on Selected Areas in Communications, 2011A fundamental understanding of the delay behavior of network coding is key towards its successful application in real-time applications with strict message deadlines. Previous contributions focused mostly on the average decoding delay, which although useful in various scenarios of interest is not sufficient for providing worst-case delay guarantees. To
Maricica Nistor +4 more
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Exact Decoding Probability Under Random Linear Network Coding [PDF]
In this letter, we compute the exact probability that a receiver obtains N linearly independent packets among K ≥ N received packets, when the sender/s use/s random linear network coding over a Galois Field of size q.
OSCAR Trullols-Cruces +2 more
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Geometric Random Linear Codes in Sensor Networks
2008 IEEE International Conference on Communications, 2008Wireless sensor networks consist of unreliable and energy-constrained sensors connecting to each other wirelessly. As measured data may be lost due to sensor failures, maintaining the persistence of periodically measured data in a scalable fashion has become a critical challenge in sensor networks, without the use of centralized servers.
Yunfeng Lin, Ben Liang 0001, Baochun Li
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Random generation of linear codes
Aequationes mathematicae, 1999Being of interest in the framework of the classification of discrete structures, the author applies combinatorial and algebraic methods for generating \((n,k)\) linear codes distributed uniformly at random over all isometry classes of linear codes. The main theoretical tools are the \textit{Dixon-Wilf-algorithm} (originally developed for the random ...
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