Call for regular papers

General call for contribution
The International Conference on the Design of Reliable Communication Networks (DRCN) has been held for more than 20 years, to address topics related to the reliability and availability of communication networks, and has grown to become the meeting place where researchers from both industry and academia get together to advance the state-of-the-art in the field. The DRCN conferences have always been a multidisciplinary forum bringing together scientists from diverse fields including engineering of survivable equipment and network technologies, network management and monitoring, and data analytics for fault diagnosis. The 19th edition of the conference will be held in Vilanova i la Geltrú, Spain, from April 17-20, 2023. We are pleased to invite you to contribute in DRCN 2023 and we encourage you submitting novel and high-quality work to the conference.

Topics of interest for submission include, but are not limited to:

  • Resilience in 5G/6G networks and services
  • Ultra-Reliable Low Latency Communications (URLLC)
  • Deterministic and time sensitive networkin
  • Design of resilient and reliable IoT systems
  • Reliable SASE architectures
  • Resilience in Software-Defined Networking (SDN)
  • Secure and reliable quantum communications
  • Resilience in extraterrestrial communication networks
  • High-availability for Network Functions Virtualization (NFV) infrastructures
  • Network dependability in cloud computing
  • Dependability and reliability of wireless/cellular/mobile networks
  • Resilience in FSO/VLC communications
  • Survivability and traffic engineering for optical, IP and multi-layer networks
  • Robustness of multi-domain networks
  • Survivability in grid, high performance and distributed computing
  • Reliability and resiliency of data center networks
  • Recovery of overlay and peer-to-peer networks
  • Risk and reliability in the Internet and enterprise networks
  • Communication reliability for smart systems (cities, transport, logistics, etc.).
  • Methods for survivable network and systems design, analysis and operation
  • Planning and optimization of reliable networks, systems, and services
  • Network reliability analysis and modelling
  • Reliability and robustness of networks optimized and managed based on AI/ML techniques
  • Data analytics and machine learning algorithms for fault diagnosis
  • Coding techniques to improve resilience in communications
  • Service differentiation based on recovery methods
  • Simulation techniques and tolos for network resilience
  • Quality of Experience (QoE) and network service availability assessments
  • Reliability requirements and metrics for users, businesses, and the society
  • Robustness of compound services
  • Resilience of networked critical infrastructures
  • Integration of satellite services for critical applications
  • Resilience towards business continuity management
  • Network robustness in response to natural and man-made disasters
  • Network security issues in the context of reliability and survivability
  • Network dependability and energy consumption trade-offs
  • Network resilience combined with pricing and economics
  • Standardization of network resilience and reliability
  • Public policy for survivability and resilience
  • Design and test of reliable operational technology (OT) networks
  • Network reconfiguration and reinforcement for reliability


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