Results 21 to 30 of about 786 (123)
Efficient Coded‐Block Delivery and Caching in Information‐Centric Networking
Discrete Dynamics in Nature and Society, Volume 2020, Issue 1, 2020., 2020 Information‐centric networking (ICN) provides request aggregation and caching strategies that can improve network performance by reducing content server loads and network traffic. Incorporating network coding into ICN can offer several benefits, but a consumer may receive the same coded block from multiple content routers since the coded block may be ...
Yan Liu +6 more
wiley +1 more source
Wireless Communications and Mobile Computing, Volume 2020, Issue 1, 2020., 2020 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.
Shujuan Wang +3 more
wiley +1 more source
Transmission Rate Sampling and Selection for Reliable Wireless Multicast
Wireless Communications and Mobile Computing, Volume 2020, Issue 1, 2020., 2020 The multicast communication concept offers a scalable and efficient method for many classes of applications; however, its potential remains largely unexploited when it comes to link‐layer multicasting in wireless local area networks. The fundamental lacking feature for this is a transmission rate control mechanism that offers higher transmission ...
Thomas Geithner +2 more
wiley +1 more source
Systematic-RLNC Based Secure and QoS Centric Routing Scheme for WSNs
Journal of Telecommunications and Information Technology, 2019 In this paper a highly robust and efficient systematic-random linear network coding (S-RLNC) routing scheme is proposed. Unlike classic security systems, the proposed S-RLNC transmission model incorporates an advanced pre-coding and interleaving concept ...
Ajaykumar Notom +2 more
doaj +1 more source
FSW: Fulcrum Sliding Window Coding for Low-Latency Communication
IEEE Access, 2022 Fulcrum Random Linear Network Coding (RLNC) combines outer coding in a large Galois Field, e.g., $GF(2^{8})$ , with inner coding in $GF(2)$ to flexibly trade off the strong protection (low probability of linear dependent coding coefficients) of $GF(2^
Elif Tasdemir +4 more
doaj +1 more source
Versatile Network Codes: Energy Consumption in Heterogeneous IoT Devices
IEEE Access, 2020 In an Internet of Things (IoT), the number of interconnected devices is huge and has been increasing drastically. Their generated data requires powerful aggregated computing resources and consumes enormous energy for processing and transmission.
Vu Nguyen +4 more
doaj +1 more source
Fulcrum Rateless Multicast Distributed Coding Design
IEEE Access, 2023 Establishing reliable and efficient multicast services in heterogeneous networks under an erasure channel is one of the current priorities in coding theory, particularly in Network Coding (NC) over data networks.
Yair Rivera Julio +2 more
doaj +1 more source
On Intercept Probability Minimization under Sparse Random Linear Network Coding [PDF]
, 2019 This paper considers a network where a node wishes to transmit a source message to a legitimate receiver in the presence of an eavesdropper. The transmitter secures its transmissions employing a sparse implementation of Random Linear Network Coding (RLNC)
Nix, Andrew +2 more
core +3 more sources
Experimental study of the interplay of channel and network coding in low power sensor applications [PDF]
, 2013 In this paper, we evaluate the performance of random linear network coding (RLNC) in low data rate indoor sensor applications operating in the ISM frequency band. We also investigate the results of its synergy with forward error correction (FEC) codes at
Angelopoulos, Georgios +3 more
core +2 more sources
A Linear Network Code Construction for General Integer Connections Based on the Constraint Satisfaction Problem [PDF]
, 2015 The problem of finding network codes for general connections is inherently difficult in capacity constrained networks. Resource minimization for general connections with network coding is further complicated.
Cui, Ying +6 more
core +2 more sources