Results 151 to 160 of about 463 (174)
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Sliding Window RLNC on Multi-Hop Communication for Low Latency
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021Random Linear Network Coding (RLNC) has been proven to improve the performances of Internet of Things (IoT) devices, such as throughput and resilience. However, for latency-sensitive applications, sliding window RLNC (SWNC) outperforms the block-based RLNC because it allows instantaneous packet decodeability and reduces the in-order delay.
Elif Tasdemir +2 more
exaly +2 more sources
A Quadratic Permutation Polynomials Enhancement of a RLNC Approach in MANETs
2019 6th International Conference on Systems and Informatics (ICSAI), 2019Quadratic permutation polynomial (QPP) has good coding characteristics and parallel processing ability. Random linear network coding (RLNC) is an improved coding algorithm for wireless channel video streaming, which can improve the network throughput and network lifetime of mobile ad hoc network (MANET).
Baolin Sun
exaly +2 more sources
Reduction of Padding Overhead for RLNC Media Distribution With Variable Size Packets
IEEE Transactions on Broadcasting, 2019Random linear network coding (RLNC) can enhance the reliability of multimedia transmissions over lossy communication channels. However, RLNC has been designed for equal size packets, while many efficient multimedia compression schemes, such as variable bitrate (VBR) video compression, produce unequal packet sizes.
Maroua Taghouti +2 more
exaly +2 more sources
We don't need no generation - a practical approach to sliding window RLNC
2017 Wireless Days, 2017Random Linear Network Coding (RLNC) is a popular coding scheme to improve communication over lossy channels. For packet streaming applications (video streaming, general IP streams), recent research has shown that sliding window schemes can improve in-order delay properties compared to the block/-generation based coding.
Simon Wunderlich +2 more
exaly +2 more sources
On the Buffer Size of Perfect RLNC in Full-Duplex Relay Networks
IEEE Transactions on Vehicular Technology, 2023Rina Su +2 more
exaly +2 more sources
Performance dynamic coding RLNC LoRa on smart cities
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2021Yair Rivera +4 more
exaly +2 more sources
Performance Analysis of Caterpillar RLNC for Multi-Hop Communication
2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021Vehicle Platooning combines lower fuel consumption with safe and efficient transportation in a cooperative driving application. To ensure this, vehicles must communicate quickly and reliably. The sliding window protocol Caterpillar Random Linear Network Coding (CRLNC) is used as it does not rely on acknowledgements and uses network coding to reduce ...
Paul Schwenteck +3 more
openaire +2 more sources
Accelerating Partial Packet Recovery in RLNC
IEEE Communications Letters, 2023Network coding (NC) can reduce the number of packet retransmissions and improve network reliability in lossy networks by combining packets in generations and transmitting these coded packets. Although corrupted coded packets are discarded at the receiver, they remain valuable as the majority of their data remains error-free, even in the presence of a ...
Vida Gholamian +3 more
openaire +1 more source
Spooky RLNC at a Distance: Exploiting Quantum Entanglement to Convey Coding Coefficients
2022 IEEE Globecom Workshops (GC Wkshps), 2022Juan A Cabrera +2 more
exaly +2 more sources
Integrating PNC and RLNC for BSM dissemination in VANETs
2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017Basic Safety Messaging (BSM) is a crucial application to provide road safety in vehicular ad-hoc networks (VANET). This paper proposes an efficient and reliable MAC protocol for BSM packets dissemination based on the framework of Dedicated Short-Range Communication (DSRC).
Minglong Zhang +4 more
openaire +1 more source

