RS-RLNC: A Reinforcement Learning-Based Selective Random Linear Network Coding Framework for Tactile Internet [PDF]
IEEE Access, 2023 Tactile Internet (TI) has very stringent networking requirements and the transport layer plays a crucial role in meeting these requirements. However, the transport layer has several inherent limitations (e.g., bufferbloat, incast issue, and head of line ...
Shahzad +3 more
doaj +2 more sources
Efficient Communications in V2V Networks with Two-Way Lanes Based on Random Linear Network Coding [PDF]
Entropy, 2023 Vehicle-to-vehicle (V2V) communication has gained significant attention in the field of intelligent transportation systems. In this paper, we focus on communication scenarios involving vehicles moving in the same and opposite directions. Specifically, we
Yiqian Zhang, Tiantian Zhu, Congduan Li
doaj +2 more sources
Scalable Network Coding for Heterogeneous Devices over Embedded Fields [PDF]
Entropy, 2022 In complex network environments, there always exist heterogeneous devices with different computational powers. In this work, we propose a novel scalable random linear network coding (RLNC) framework based on embedded fields, so as to endow heterogeneous ...
Hanqi Tang +4 more
doaj +2 more sources
Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings. [PDF]
Cogn Sci, 2021 Abstract In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data‐driven, scalable way, which is grounded in language use. We show a unique and reliable relation between measures of language change and age of acquisition (AoA) while controlling for frequency, contextual ...
Cassani G +3 more
europepmc +2 more sources
Network Coding Approaches for Distributed Computation over Lossy Wireless Networks [PDF]
Entropy, 2023 In wireless distributed computing systems, worker nodes connect to a master node wirelessly and perform large-scale computational tasks that are parallelized across them.
Bin Fan, Bin Tang, Zhihao Qu, Baoliu Ye
doaj +2 more sources
Weighted BATS Codes with LDPC Precoding [PDF]
Entropy, 2023 Batched Sparse (BATS) codes are a type of network coding scheme that use a combination of random linear network coding (RLNC) and fountain coding to enhance the reliability and efficiency of data transmission. In order to achieve unequal error protection
Wenyue Zhang, Min Zhu
doaj +2 more sources
Network Coding for Efficient Video Multicast in Device-to-Device Communications [PDF]
Sensors, 2020 Device-to-Device (D2D) communication is one of the critical technologies for the fifth-generation network, which allows devices to communicate directly with each other while increasing transmission rate, but this communication is vulnerable to ...
Lei Wang +5 more
doaj +2 more sources
On Vector Random Linear Network Coding in Wireless Broadcasts [PDF]
EntropyCompared with scalar linear network coding (LNC) formulated over the finite field GF(2L), vector LNC offers enhanced flexibility in the code design by enabling linear operations over the vector space GF(2)L and demonstrates a number of advantages over ...
Rina Su +3 more
doaj +2 more sources
Minimal Increase Network Coding for Dynamic Networks. [PDF]
PLoS ONE, 2016 Because of the mobility, computing power and changeable topology of dynamic networks, it is difficult for random linear network coding (RLNC) in static networks to satisfy the requirements of dynamic networks.
Guoyin Zhang, Xu Fan, Yanxia Wu
doaj +2 more sources
A Cloud-Assisted Random Linear Network Coding Medium Access Control Protocol for Healthcare Applications [PDF]
Sensors, 2014 Relay sensor networks are often employed in end-to-end healthcare applications to facilitate the information flow between patient worn sensors and the medical data center. Medium access control (MAC) protocols, based on random linear network coding (RLNC)
Elli Kartsakli +3 more
doaj +2 more sources