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Journal articles on the topic 'Low-Latency applications'

Author: Grafiati

Published: 24 May 2025

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1

Gürel, O., and M. U. Çakır. "XMPP Based Applications under Low Bandwidth and High Latency Conditions." Lecture Notes on Software Engineering 3, no. 4 (2015): 314–17. http://dx.doi.org/10.7763/lnse.2015.v3.211.

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2

Brook, Andrew. "Low-latency distributed applications in finance." Communications of the ACM 58, no. 7 (2015): 42–50. http://dx.doi.org/10.1145/2747303.

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3

Fiati, Patrick, and K. Adu Boahen Opare. "Network Architecture for Ultra Low Latency Applications." Communications on Applied Electronics 7, no. 37 (2021): 1–4. http://dx.doi.org/10.5120/cae2021652887.

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Sowmiyaa P, Saranya P, Sabena M, Saranya R, and Subhisha K. "LOW-LATENCY APPROXIMATE ADDERIN FPGA." international journal of engineering technology and management sciences 9, no. 2 (2025): 23–25. https://doi.org/10.46647/ijetms.2025.v09i02.005.

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Approximate computing has gained significant attention for applications where absolute precision isnot critical, such as image processing, machine learning, and signal processing. The proposeddesign divides the addition process into two stages: a main sub-adder for high-speed approximatecomputation and an error sub-adder for refining accuracy. By limiting carry propagation in the mainsub-adder, the critical path delay is significantly reduced, achieving low latency. Simultaneously,the error sub-adder operates in parallel to correct errors, ensuring a balance between performanceand precision. E

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Gomes Lobato, Thiago Henrique, Roland Sottek, and Michael Vorlaender. "Implementing neural networks in low-latency audio applications." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A105. http://dx.doi.org/10.1121/10.0018318.

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The use of neural networks is becoming increasingly prevalent due to their ability to represent complex relationships and solve complex problems. However, implementing these models in systems that require low-latency output can be challenging, especially for practitioners who are used to developing their models in controlled environments like Python notebooks. Another issue is the high computational cost of complex models, which limits the minimum possible latency. This paper presents approaches for deploying models in audio applications, discusses the advantages and disadvantages of each appr

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Kavamahanga, Lambert, Theodette Uwimbabazi, and Damascene Uwizeyemungu. "Low-Latency and Ultra-Reliable Communication for Industrial 5G." Journal of Current Trends in Computer Science Research 3, no. 4 (2024): 01–05. http://dx.doi.org/10.33140/jctcsr.03.04.02.

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The Internet of Things(IoT) is a planned Internet extension in which everyday objects are outfitted with circuitry, software, sensors, and internet connectivity is required so that data can be received and sent over the Internet. Emerging applications like factory automation and au- tonomous driving necessitate affordable, dependable, and low- latency communication making wireless architecture It’s more convoluted than before. The study’s goal is to understand existing study issues and solutions in connection with 5G-enabled Industrial IoT based on both sectors’ original goals and commitments.

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Litz, Heiner, Javier Gonzalez, Ana Klimovic, and Christos Kozyrakis. "RAIL: Predictable, Low Tail Latency for NVMe Flash." ACM Transactions on Storage 18, no. 1 (2022): 1–21. http://dx.doi.org/10.1145/3465406.

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Flash-based storage is replacing disk for an increasing number of data center applications, providing orders of magnitude higher throughput and lower average latency. However, applications also require predictable storage latency. Existing Flash devices fail to provide low tail read latency in the presence of write operations. We propose two novel techniques to address SSD read tail latency, including Redundant Array of Independent LUNs (RAIL) which avoids serialization of reads behind user writes as well as latency-aware hot-cold separation (HC) which improves write throughput while maintaini

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Shih, Yuan-Yao, Wei-Ho Chung, Ai-Chun Pang, Te-Chuan Chiu, and Hung-Yu Wei. "Enabling Low-Latency Applications in Fog-Radio Access Networks." IEEE Network 31, no. 1 (2017): 52–58. http://dx.doi.org/10.1109/mnet.2016.1500279nm.

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Brook, Andrew. "Evolution and Practice: Low-latency Distributed Applications in Finance." Queue 13, no. 4 (2015): 40–53. http://dx.doi.org/10.1145/2756506.2770868.

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10

Berisa, Tomaz, Kerim Fouli, and Martin Maier. "Real-time PON signaling for emerging low-latency applications." Computer Communications 52 (October 2014): 102–9. http://dx.doi.org/10.1016/j.comcom.2014.06.008.

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Huang, Tao, Jiao Zhang, and Yunjie Liu. "A mechanism achieving low latency for wireless datacenter applications." Computer Science and Information Systems 13, no. 2 (2016): 639–58. http://dx.doi.org/10.2298/csis160301020h.

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Mountaser, Ghizlane, Toktam Mahmoodi, and Osvaldo Simeone. "Reliable and Low-Latency Fronthaul for Tactile Internet Applications." IEEE Journal on Selected Areas in Communications 36, no. 11 (2018): 2455–63. http://dx.doi.org/10.1109/jsac.2018.2872299.

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Kuang, Shiann-Rong, Jiun-Ping Wang, and Hua-Yi Hong. "Variable-Latency Floating-Point Multipliers for Low-Power Applications." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 18, no. 10 (2010): 1493–97. http://dx.doi.org/10.1109/tvlsi.2009.2025167.

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Wu, Eric Hsiao-Kuang, Ming-I. Hsieh, and Hsu-Te Lai. "Low latency and efficient packet scheduling for streaming applications." Computer Communications 29, no. 9 (2006): 1413–21. http://dx.doi.org/10.1016/j.comcom.2005.09.001.

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15

Vivek Aby Pothen. "Distributed edge AI architecture for ultra-low latency 5G applications." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 128–36. https://doi.org/10.30574/wjaets.2025.15.2.0520.

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The integration of edge computing with 5G networks represents a transformative approach to telecommunications architecture that addresses the stringent latency requirements of next-generation applications. This article shows architectural frameworks for edge-enabled 5G deployments, latency optimization techniques, real-time AI analytics capabilities, and key application domains. The article demonstrates that edge computing significantly reduces latency compared to cloud-centric alternatives while enhancing bandwidth efficiency and computational capabilities at the network edge. Multi-access Ed

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Osama, Mohamed, Abdelhamied A. Ateya, Shaimaa Ahmed Elsaid, and Ammar Muthanna. "Ultra-Reliable Low-Latency Communications: Unmanned Aerial Vehicles Assisted Systems." Information 13, no. 9 (2022): 430. http://dx.doi.org/10.3390/info13090430.

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Ultra-reliable low-latency communication (uRLLC) is a group of fifth-generation and sixth-generation (5G/6G) cellular applications with special requirements regarding latency, reliability, and availability. Most of the announced 5G/6G applications are uRLLC that require an end-to-end latency of milliseconds and ultra-high reliability of communicated data. Such systems face many challenges since traditional networks cannot meet such requirements. Thus, novel network structures and technologies have been introduced to enable such systems. Since uRLLC is a promising paradigm that covers many appl

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Makhija, Deven, Rabindranath Bera, and Sourav Dhar. "Low Latency Device to Device Communications for Sustainable Development." ITM Web of Conferences 65 (2024): 04005. http://dx.doi.org/10.1051/itmconf/20246504005.

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The 5G device to device (D2D) communication is being given impetus as technology for achieving sustainable development goals (SDG) in various fields like health, smart city, education, infrastructure and clean energy. The low latency device to device communications are key enablers for achieving the goals and objectives promulgated as SDG. Network virtualisation, software defined networks, beamforming, artificial intelligence and cognitive methods are facilitating roll out of applications enabling achievement of SDG. The interference mitigation, efficient resource allocation, energy efficiency

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Wadatkar, Prachi V., Rosario G. Garroppo, and Gianfranco Nencioni. "5G-MEC Testbeds for V2X Applications." Future Internet 15, no. 5 (2023): 175. http://dx.doi.org/10.3390/fi15050175.

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Fifth-generation (5G) mobile networks fulfill the demands of critical applications, such as Ultra-Reliable Low-Latency Communication (URLLC), particularly in the automotive industry. Vehicular communication requires low latency and high computational capabilities at the network’s edge. To meet these requirements, ETSI standardized Multi-access Edge Computing (MEC), which provides cloud computing capabilities and addresses the need for low latency. This paper presents a generalized overview for implementing a 5G-MEC testbed for Vehicle-to-Everything (V2X) applications, as well as the analysis o

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S Yadav, Purshotam. "Minimize Downtime: Container Failover with Distributed Locks in Multi - Region Cloud Deployments for Low - Latency Applications." International Journal of Science and Research (IJSR) 9, no. 10 (2020): 1800–1803. http://dx.doi.org/10.21275/sr24709191432.

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Rashid, Muhammad, Sajjad Shaukat Jamal, Sikandar Zulqarnain Khan, Adel R. Alharbi, Amer Aljaedi, and Malik Imran. "Elliptic-Curve Crypto Processor for RFID Applications." Applied Sciences 11, no. 15 (2021): 7079. http://dx.doi.org/10.3390/app11157079.

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This work presents an Elliptic-curve Point Multiplication (ECP) architecture with a focus on low latency and low area for radio-frequency-identification (RFID) applications over GF(2163). To achieve low latency, we have reduced the clock cycles by using: (i) three-shift buffers in the datapath to load Elliptic-curve parameters as well as an initial point, (ii) the identical size of input/output interfaces in all building blocks of the architecture. The low area is preserved by using the same hardware resources of squaring and multiplication for inversion computation. Finally, an efficient cont

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Santin-Cruz, Carlos Jair, and Gordana Jovanovic Dolecek. "Audio Watermarking System in Real-Time Applications." Informatics 12, no. 1 (2024): 1. https://doi.org/10.3390/informatics12010001.

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Watermarking is widely employed to protect audio files. Previous research has focused on developing systems that balance performance criteria, including robustness, imperceptibility, and capacity. Most existing systems are designed to work with pre-recorded audio signals, where the characteristics of the host signal are known in advance. In such cases, processing time is not a critical factor, as these systems generally do not account for real-time signal acquisition or report tests for real-time signal acquisition nor report the elapsed time between signal acquisition and watermarking output,

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Anand, Ravi, Subhadeep Banik, Andrea Caforio, et al. "Gleeok: A Family of Low-Latency PRFs and its Applications to Authenticated Encryption." IACR Transactions on Cryptographic Hardware and Embedded Systems 2024, no. 2 (2024): 545–87. http://dx.doi.org/10.46586/tches.v2024.i2.545-587.

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In this paper, we propose a new family of low-latency pseudorandom functions (PRFs), dubbed Gleeok.Gleeok utilizes three 128-bit branches to achieve a 256-bit key size while maintaining low latency. The first two branches are specifically designed to defend against statistical attacks, especially for differential attacks, while the third branch provides resilience against algebraic attacks. This unique design enables Gleeok to offer ultralow latency while supporting 256-bit keys, setting it apart from existing ciphers dedicated to low-latency requirements. In addition, we propose wide-block va

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23

Berenberg, Anna, and Brad Calder. "Deployment Archetypes for Cloud Applications." ACM Computing Surveys 55, no. 3 (2023): 1–48. http://dx.doi.org/10.1145/3498336.

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This is a survey article that explores six Cloud-based deployment archetypes for Cloud applications and the tradeoffs between them to achieve high availability, low end-user latency, and acceptable costs. These are (1) Zonal, (2) Regional, (3) Multi-regional, (4) Global, (5) Hybrid, and (6) Multi-cloud deployment archetypes. The goal is to classify cloud applications into a set of deployment archetypes and deployment models that tradeoff their needs around availability, latency, and geographical constraints with a focus on serving applications. This enables application owners to better examine

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24

Rosing, Matt, and Joel Saltz. "Low Latency Messages on Distributed Memory Multiprocessors." Scientific Programming 4, no. 1 (1995): 35–43. http://dx.doi.org/10.1155/1995/531941.

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This article describes many of the issues in developing an efficient interface for communication on distributed memory machines. Although the hardware component of message latency is less than 1 ws on many distributed memory machines, the software latency associated with sending and receiving typed messages is on the order of 50 μs. The reason for this imbalance is that the software interface does not match the hardware. By changing the interface to match the hardware more closely, applications with fine grained communication can be put on these machines. This article describes several tests p

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Hurtig, Per, Karl-Johan Grinnemo, Anna Brunstrom, Simone Ferlin, Ozgu Alay, and Nicolas Kuhn. "Low-Latency Scheduling in MPTCP." IEEE/ACM Transactions on Networking 27, no. 1 (2019): 302–15. http://dx.doi.org/10.1109/tnet.2018.2884791.

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Vladyko, Andrei, Abdukodir Khakimov, Ammar Muthanna, Abdelhamied A. Ateya, and Andrey Koucheryavy. "Distributed Edge Computing to Assist Ultra-Low-Latency VANET Applications." Future Internet 11, no. 6 (2019): 128. http://dx.doi.org/10.3390/fi11060128.

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Vehicular ad hoc networks (VANETs) are a recent class of peer-to-peer wireless networks that are used to organize the communication and interaction between cars (V2V), between cars and infrastructure (V2I), and between cars and other types of nodes (V2X). These networks are based on the dedicated short-range communication (DSRC) IEEE 802.11 standards and are mainly intended to organize the exchange of various types of messages, mainly emergency ones, to prevent road accidents, alert when a road accident occurs, or control the priority of the roadway. Initially, it was assumed that cars would o

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Ruan, Lihua, Maluge Pubuduni Imali Dias, and Elaine Wong. "Machine Learning-Based Bandwidth Prediction for Low-Latency H2M Applications." IEEE Internet of Things Journal 6, no. 2 (2019): 3743–52. http://dx.doi.org/10.1109/jiot.2018.2890563.

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28

Arvanitis, Gerasimos, Aris S. Lalos, and Konstantinos Moustakas. "Adaptive representation of dynamic 3D meshes for low-latency applications." Computer Aided Geometric Design 73 (August 2019): 70–85. http://dx.doi.org/10.1016/j.cagd.2019.07.005.

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29

Krishna, Merugumalli Rama, K. Sri Lakshmi, S. Lalitha, and C. Amulya. "Low Latency and Efficient LUT Based Multiplier for DSP Applications." International Journal of Advance Research and Innovation 8, no. 2 (2020): 91–96. http://dx.doi.org/10.51976/ijari.822016.

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In digital signal processing memory based computation plays a vital role for DSP applications, which has multiplication with a fixed set of coefficient. LUT optimization for memory based multiplication can be done with these three computational techniques like Anti symmetry product coding (APC) and Odd multiple storage (OMS), combined APC-OMS. OMS technique with the modified APC-OMS based LUT multiplier can be discussed in terms of area and delay. These techniques are coded in VHDL language and synthesized in Xilinx ISE design suite 14.7. Thus, this proposes the APC-OMS based LUT multiplier ca

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30

Kambala, Gireesh. "Emergent Architectures in Edge Computing for Low-Latency Application." International Journal of Engineering and Computer Science 13, no. 09 (2024): 26597–607. https://doi.org/10.18535/ijecs.v13i09.4926.

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Emerging as a necessary paradigm for meeting the low-latency needs of contemporary real-time applications is edge computing. By distributing computation, storage, and network resources, edge designs reduce data transfer latency and increase system responsiveness. They are indispensible in fields including smart cities, autonomous systems, and healthcare. This study explores evolving architectural paradigms in edge computing—including layered hierarchies, microservices, and serverless computing—as well as their interfaces with technologies including 5G, IoT, and artificial intelligence. Extensi

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Kambala, Gireesh. "Emergent Architectures in Edge Computing for Low-Latency Application." International Journal of Scientific Research and Management (IJSRM) 12, no. 09 (2024): 1467–77. https://doi.org/10.18535/ijsrm/v12i09.ec07.

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Emerging as a necessary paradigm for meeting the low-latency needs of contemporary real-time applications is edge computing. By distributing computation, storage, and network resources, edge designs reduce data transfer latency and increase system responsiveness. They are indispensible in fields including smart cities, autonomous systems, and healthcare. This study explores evolving architectural paradigms in edge computing—including layered hierarchies, microservices, and serverless computing—as well as their interfaces with technologies including 5G, IoT, and artificial intelligence. Extensi

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32

Eaton, Brian, Jeff Stewart, Jon Tedesco, and N. Cihan Tas. "Distributed Latency Profiling through Critical Path Tracing." Queue 20, no. 1 (2022): 40–79. http://dx.doi.org/10.1145/3526967.

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Low latency is an important feature for many Google applications such as Search, and latency-analysis tools play a critical role in sustaining low latency at scale. For complex distributed systems that include services that constantly evolve in functionality and data, keeping overall latency to a minimum is a challenging task. In large, real-world distributed systems, existing tools such as RPC telemetry, CPU profiling, and distributed tracing are valuable to understand the subcomponents of the overall system, but are insufficient to perform end-to-end latency analyses in practice. Scalable an

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Erbati, Mohammad Mohammadi, Mohammad Mahdi Tajiki, and Gregor Schiele. "Service Function Chaining to Support Ultra-Low Latency Communication in NFV." Electronics 12, no. 18 (2023): 3843. http://dx.doi.org/10.3390/electronics12183843.

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Network function virtualization (NFV) has the potential to fundamentally transform conventional network architecture through the decoupling of software from dedicated hardware. The convergence of virtualization and cloud computing technologies has revolutionized the networking landscape, offering a wide range of advantages, including improved flexibility, manageability, and scalability. The importance of network capability in enabling ultra-low latency applications has been greatly amplified in the current era due to the increased demand for emerging services such as autonomous driving, teleop

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Wu, Yiliang, Xue Bai, Yendo Hu, and Minghong Chen. "A Novel Video Transmission Latency Measurement Method for Intelligent Cloud Computing." Applied Sciences 12, no. 24 (2022): 12884. http://dx.doi.org/10.3390/app122412884.

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Low latency video transmission is gaining importance in time-critical applications using real-time cloud-based systems. Cloud-based Virtual Reality (VR), remote control, and AI response systems are emerging use cases that demand low latency and good reliability. Although there are many video transmission schemes that claim low latency, they vary over different network conditions. Therefore, it is necessary to develop methods that can accurately measure end-to-end latency online, continuously, without any content modification. This research brings these applications one step closer to addressin

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Losada, Markos, Ainhoa Cortés, Andoni Irizar, Javier Cejudo, and Alejandro Pérez. "A Flexible Fog Computing Design for Low-Power Consumption and Low Latency Applications." Electronics 10, no. 1 (2020): 57. http://dx.doi.org/10.3390/electronics10010057.

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In this paper, we propose a flexible Fog Computing architecture in which the main features are that it allows us to select among two different communication links (WiFi and LoRa) on the fly and offers a low-power solution, thanks to the applied power management strategies at hardware and firmware level. The proposed Fog Computing architecture is formed by sensor nodes and an Internet of Things (IoT) gateway. In the case of LoRa, we have the choice of implementing the LoRaWAN and Application servers on the cloud or on the IoT gateway, avoiding, in this case, to send data to the Cloud. Additiona

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Božilov, Dušan, Miroslav Knežević, and Ventzislav Nikov. "Optimized threshold implementations: securing cryptographic accelerators for low-energy and low-latency applications." Journal of Cryptographic Engineering 12, no. 1 (2021): 15–51. http://dx.doi.org/10.1007/s13389-021-00276-5.

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37

Amjad, Zubair, Kofi Atta Nsiah, Benoît Hilt, Jean-Philippe Lauffenburger, and Axel Sikora. "Latency reduction for narrowband URLLC networks: a performance evaluation." Wireless Networks 27, no. 4 (2021): 2577–93. http://dx.doi.org/10.1007/s11276-021-02553-x.

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AbstractFifth-generation (5G) cellular mobile networks are expected to support mission-critical low latency applications in addition to mobile broadband services, where fourth-generation (4G) cellular networks are unable to support Ultra-Reliable Low Latency Communication (URLLC). However, it might be interesting to understand which latency requirements can be met with both 4G and 5G networks. In this paper, we discuss (1) the components contributing to the latency of cellular networks and (2) evaluate control-plane and user-plane latencies for current-generation narrowband cellular networks a

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38

Dong, Jialin, Kai Yang, and Yuanming Shi. "Blind Demixing for Low-Latency Communication." IEEE Transactions on Wireless Communications 18, no. 2 (2019): 897–911. http://dx.doi.org/10.1109/twc.2018.2886191.

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Le, Duc Hung, Xuan Thuan Nguyen, Trong Tu Bui, Huynh Huu Thuan, and Pham Cong Kha. "A FLEXIBLE HIGH-BANDWIDTH LOW-LATENCY MULTI-PORT MEMORY CONTROLLER." Vietnam Journal of Science and Technology 56, no. 3 (2018): 357. http://dx.doi.org/10.15625/2525-2518/56/3/11103.

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Multi-port memory controllers (MPMCs) have become increasingly important in many modern applications due to the tremendous growth in bandwidth requirement. Many approaches so far have focused on improving either the memory access latency or the bandwidth utilization for specific applications. Moreover, the application systems are likely to require certain adjustments to connect with an MPMC, since the MPMC interface is limited to a single-clock and single-data-width domain. In this paper, we propose efficient techniques to improve the flexibility, latency, and bandwidth of an MPMC. Firstly, MP

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Lee, Sunwoo, and Donghyeok An. "Enhanced Flow Control for Low Latency in QUIC." Energies 15, no. 12 (2022): 4241. http://dx.doi.org/10.3390/en15124241.

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Low-latency communication is becoming more popular as applications that demand real-time interaction, such as autonomous mobile vehicles and tactile Internet, have recently gained prominence. In this paper, we propose a fast autotuning algorithm to support low-latency communication in the Quick UDP Internet Connection (QUIC) protocol. The transmission rate is adjusted by the fast autotuning based on the quantity of unused buffers. If the buffer has large free space, the receive window is quickly enlarged to increase the transmission rate and reduce the transmission delay. The fast autotuning i

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Barman, Ludovic, Italo Dacosta, Mahdi Zamani, et al. "PriFi: Low-Latency Anonymity for Organizational Networks." Proceedings on Privacy Enhancing Technologies 2020, no. 4 (2020): 24–47. http://dx.doi.org/10.2478/popets-2020-0061.

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AbstractOrganizational networks are vulnerable to trafficanalysis attacks that enable adversaries to infer sensitive information fromnetwork traffic—even if encryption is used. Typical anonymous communication networks are tailored to the Internet and are poorly suited for organizational networks.We present PriFi, an anonymous communication protocol for LANs, which protects users against eavesdroppers and provides high-performance traffic-analysis resistance. PriFi builds onDining Cryptographers networks (DC-nets), but reduces the high communication latency of prior designs via a new client/rel

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Mamatha Kotagi, Raghunath, and Kavitha N Mudnal. "Low-latency communication protocols for industrial IoT." World Journal of Advanced Research and Reviews 11, no. 3 (2021): 540–48. https://doi.org/10.30574/wjarr.2021.11.3.0414.

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The Industrial Internet of Things (IIoT) requires robust, efficient, and low-latency communication protocols to enable seamless real-time data transmission, ensuring reliability, scalability, and interoperability across industrial environments. This paper provides a comprehensive exploration of various low-latency communication protocols, including Time-Sensitive Networking (TSN), MQTT-SN, OPC UA over TSN, and 5G Ultra-Reliable Low-Latency Communications (URLLC). Each protocol is analyzed in terms of its architecture, performance characteristics, and suitability for industrial applications suc

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Varunkumar Mishra. "Comprehensive and Effective Techniques Used to Improve Low Latency in 5G Communication." Communications on Applied Nonlinear Analysis 32, no. 5s (2024): 17–25. https://doi.org/10.52783/cana.v32.2913.

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Introduction: The advent of 5G technology is poised to revolutionize a wide range of industries by enabling ultra-low-latency communications. However, reducing latency remains a significant challenge due to the complexities of traditional network infrastructures and the propagation delays associated with long-distance signal transmission. Latency is a critical factor in the performance of applications such as autonomous vehicles, industrial IoT, and real-time communications, where even minimal delays can result in performance degradation. This paper explores innovative techniques to address th

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Marinšek, Alexander, Daan Delabie, Lieven De Strycker, and Liesbet Van der Perre. "Physical Layer Latency Management Mechanisms: A Study for Millimeter-Wave Wi-Fi." Electronics 10, no. 13 (2021): 1599. http://dx.doi.org/10.3390/electronics10131599.

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Emerging applications in fields such as extended reality require both a high throughput and low latency. The millimeter-wave (mmWave) spectrum is considered because of the potential in the large available bandwidth. The present work studies mmWave Wi-Fi physical layer latency management mechanisms, a key factor in providing low-latency communications for time-critical applications. We calculate physical layer latency in an ideal scenario and simulate it using a tailor-made simulation framework, based on the IEEE 802.11ad standard. Assessing data reception quality over a noisy channel yielded l

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Jiang, Zhiyuan, Siyu Fu, Sheng Zhou, Zhisheng Niu, Shunqing Zhang, and Shugong Xu. "AI-Assisted Low Information Latency Wireless Networking." IEEE Wireless Communications 27, no. 1 (2020): 108–15. http://dx.doi.org/10.1109/mwc.001.1900279.

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Kilic, Fatih, and Wolfram Hardt. "Low Latency Reliable Data Sharing Mechanism for UAV Swarm Missions." Embedded Selforganising Systems 9, no. 3 (2022): 62–69. http://dx.doi.org/10.14464/ess.v9i3.551.

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The use of Unmanned Aerial Vehicle (UAV) swarms is increasing in many commercial applications as well as military applications (such as reconnaissance missions, search and rescue missions). Autonomous UAV swarm systems rely on multi-node interhost communication, which is used in coordination for complex tasks. Reliability and low latency in data transfer play an important role in the maintenance of UAV coordination for these tasks. In these applications, the control of UAVs is performed by autonomous software and any failure in data reception may have catastrophic consequences. On the other ha

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Ferreira Neto, Nelson Alves, Marco Ruiz, Marco Reis, et al. "Low-latency perception in off-road dynamical low visibility environments." Expert Systems with Applications 201 (September 2022): 117010. http://dx.doi.org/10.1016/j.eswa.2022.117010.

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Prapas, Antonios, Konstantinos F. Kantelis, Petros Nicopolitidis, and Georgios I. Papadimitriou. "An On-Demand TDMA Approach Optimized for Low-Latency IoT Applications." Sensors 22, no. 17 (2022): 6461. http://dx.doi.org/10.3390/s22176461.

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The never-ending evolution of the Internet of Things ecosystem is reshaping the arena of wireless communications and competing against conventional networking solutions in fields such as battery life, device and deployment cost, coverage, and support for an immense number of devices. Inspired by this phenomenon, this paper presents a novel Medium Access Control protocol utilizing long-range technology, based on a Time Division Multiple Access communication protocol variant, adjusted to make better use of each device’s hardware. Focusing on Low Power Wide Area Network applications, this impleme

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Lu, Donghang, Albert Yu, Aniket Kate, and Hemanta Maji. "Polymath: Low-Latency MPC via Secure Polynomial Evaluations and Its Applications." Proceedings on Privacy Enhancing Technologies 2022, no. 1 (2021): 396–416. http://dx.doi.org/10.2478/popets-2022-0020.

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Abstract While the practicality of secure multi-party computation (MPC) has been extensively analyzed and improved over the past decade, we are hitting the limits of efficiency with the traditional approaches of representing the computed functionalities as generic arithmetic or Boolean circuits. This work follows the design principle of identifying and constructing fast and provably-secure MPC protocols to evaluate useful high-level algebraic abstractions; thus, improving the efficiency of all applications relying on them. We present Polymath, a constant-round secure computation protocol suite

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Nawaz, Tassadaq, Marco Seminara, Stefano Caputo, Lorenzo Mucchi, and Jacopo Catani. "Low-Latency VLC System with Fresnel Receiver for I2V ITS Applications." Journal of Sensor and Actuator Networks 9, no. 3 (2020): 35. http://dx.doi.org/10.3390/jsan9030035.

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This work presents a characterization of a low-cost, low-latency Visible Light Communication (VLC) prototype for infrastructure-to-vehicle (I2V) communication for future Intelligent Transportation Systems (ITS). The system consists of a regular traffic light as a transmitter (the red light is modulated with the information), and a photodetector as a receiver. The latter is equipped with low-cost Fresnel lenses as condensers, namely, 1 ′ ′ Fresnel and 2 ′ ′ Fresnel, to increase the optical gain of the system at the receiver. The system is capable of Active Decode and Relay (ADR) of information

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