General Information

The 2026 Latin America Networking Conference (LANC 2026) will provide an international technical forum for experts from industry and academia, everywhere in the world, but especially from Latin American countries, to exchange ideas and present results of ongoing research in networking.

LANC 2026 will be held in collaboration with CLEI 2026, the 2024 Latin American Conference in Computing, organized in this opportunity by Instituto Tecnológico Autónomo de México, Mexico City, México. It will be celebrated on Septembre 7-11, 2026, as a hybrid conference (in-person and virtually). In addition to the traditional paper presentations, the conference will host tutorials and keynote speeches. You can download the Call for Papers in PDF format from this link.

Similarly to preview years, the organizing committee has started the negotiation with ACM to include the accepted papers in the ACM Digital Library.

Scope

LANC 2026 invites prospective authors to submit their original technical work with significant research contributions in the following topics that are of special interest for the conference, but are not limited to:

• Cloud and fog computing
• Delay/Disruption-tolerant networks
• Green and energy-efficient communications
• Internet-based applications
• Advances in Internet Protocols
• Low-cost access networks
• Multimedia networking systems
• National ICT infrastructures for education
• Network and service management
• Network performance evaluation
• Network security
• Optical communications
• Peer-to-peer and overlay networks
• Protocol optimizations
• Smart grid communications
• Quality of Service (QoS) and Quality of Experience (QoE) in communication systems
• Social networking (online, mobile, and pervasive)
• Software-Defined Networks (SDN)
• Wireless, mobile, ad-hoc, vehicular, and sensor networks
• Cyber-physical systems and the Internet of Things (IoT)
• Dynamic spectrum management
• Implementation and experimental testbeds
• Cognitive radio networking
• Cross-layer design and optimization
• 5th Generation Networks (5G)
• Machine Learning for networking
• Federated learning for networking
• Network simulations