18^th International Conference on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks (GRAPH-HOC 2026)

July 16 ~ 17, 2026, London, United Kingdom

Scope & Topics

18^th International Conference on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks (GRAPH-HOC 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks. The Conference looks for significant contributions to all major fields of the Applications in Graph Theory in Wireless Ad hoc Networks and Sensor Networks. in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Authors are invited to contribute to this conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Information Technology, Control Systems and Automation.

Topics of interest include, but are not limited to, the following

Graph Theory for Wireless, Mobile, Ad Hoc and Sensor Networks


• Graph based Modeling of Wireless Ad Hoc, Mesh and Sensor Networks
  
• Topology Control, Power Assignment and Connectivity Optimization
  
• Graph Algorithms for Routing, Scheduling and Resource Allocation
  
• Graph Coloring, Dominating Sets and Independent Sets in Network Design
  
• Random, Probabilistic and Stochastic Graph Models for Wireless Systems
  
• Temporal, Dynamic and Evolving Graphs for Mobile Networks
  
• Streaming Graph Algorithms for Real Time Network Analytics
  
• Graph Based Data Aggregation, Compression and In Network Computation
  
• Graph Algorithms for Coverage, Duty Cycling and Network Lifetime Optimization
  
  Algorithms, Complexity and Optimization in Networked Systems
  
  
• Approximation Algorithms and Heuristics for NP Hard Network Problems
  
• Distributed Graph Algorithms for Large Scale Dynamic Networks
  
• Online Algorithms and Competitive Analysis for Mobile Systems
  
• Fault Tolerant, Resilient and Self Stabilizing Graph Algorithms
  
• Graph Optimization for Energy Efficiency and Load Balancing
  
• Graph Theoretic Approaches to Network Flow, Cuts and Matchings
  
• Spectral Graph Theory for Network Optimization
  
  Graph Theory for IoT, Cyber Physical, Edge and Fog Systems
  
  
• Graph Based Modeling of IoT Architectures and Smart Environments
  
• Spatio Temporal Graphs for Mobility, Sensing and Actuation
  
• Graph Algorithms for Cyber Physical Systems and Industrial IoT
  
• Graph Theory for Edge Intelligence and Distributed AI
  
• Graph Based Task Offloading and Collaborative Inference
  
• Graph Based Digital Twins for Networked Systems
  
• Graph Based Twin Synchronization and Closed Loop Optimization
  
• Graph Abstractions for Simulation Acceleration
  
  Graph Neural Networks (GNNs), Graph ML and AI on Graphs
  
  
• Graph Neural Networks for Routing, Localization and Network Prediction
  
• Graph Transformers and Graph Foundation Models (GFMs)
  
• Self Supervised Learning on Graphs
  
• Graph Diffusion Models and Graph Generative Models
  
• Graph Reinforcement Learning and Multi Agent RL on Graphs
  
• ML Driven Topology Control and Resource Allocation
  
• GNNs for Link Prediction, Failure Detection and Network Health Monitoring
  
• Federated Learning on Graphs (GraphFL)
  
• Predictive Network Control Using ML on Graphs
  
  Graph Theory for Security, Privacy and Trust
  
  
• Secure Routing Algorithms, Trust Graphs and Adversarial Resilience
  Graph Based Intrusion Detection and Anomaly Detection
  
• GNN Based Security and Graph Based Threat Detection
  
• Adversarial Attacks on GNNs (Poisoning, Evasion, Backdoors)
  
• Attack Graphs, Threat Modeling and Vulnerability Analysis
  
• Graph Theoretic Approaches to Privacy Preservation
  
• Graph Based Security for Federated Learning
  
• Graph Based Zero Trust Architectures
  
• Secure Data Aggregation and Key Management Using Graph Structures
  
  Graph Theory in Vehicular, UAV, Satellite and Next Generation Networks
  
  
• Graph Algorithms for Vehicular Ad Hoc Networks (VANETs)
  
• Graph Theory for Intelligent Transportation Systems and Evacuation Routing
  
• UAV Swarm Networks and Aerial Ad Hoc Networks Modeled as Graphs
  
• Graph Based Coordination and Rigidity Theory for Multi Robot Systems
  
• Graph Theory for Satellite Mega Constellations and Non Terrestrial Networks
  
• Multi Layer Graphs for Hybrid Aerial–Terrestrial Networks
  
• Graph Based Optimization for 5G/6G, mmWave, THz and Ultra Dense Networks
  
• Graph Models for Reconfigurable Intelligent Surfaces (RIS)
  
  Graph Theory for Network Reliability, Resilience and Performance
  
  
• Connectivity, k Connectivity and Robustness Analysis
  
• Graph Based Fault Detection, Recovery and Self Healing Networks
  
• Network Resilience Under Failures, Attacks and Mobility
  
• Spectral Graph Methods for Performance Optimization
  
• Graph Theoretic Scalability and Performance Modeling
  
  Emerging Graph Theoretic Applications in Wireless Systems
  
  
• Hypergraphs and Multigraphs for Complex Wireless Interactions
  
• Graph Based Localization, Tracking and Sensing
  
• DAG Based Consensus (IOTA, Hashgraph) and Web3 Graph Structures
  
• Graph Theory for Distributed Ledger Technologies in IoT
  
• Graph Epidemiology and Information Diffusion in Mobile Networks
  
• Graph Based Human Mobility Modeling for Smart Cities
  
• Graph Theoretic Approaches to Smart Grid and Energy Networks
  
• Graph Theory for Space Computing and Autonomous Space Systems
  
  Quantum and Post Quantum Graph Algorithms
  
  
• Quantum Graph Algorithms (Quantum Walks, Quantum Search)
  
• Quantum Routing and Network Discovery on Graphs
  
• Post Quantum Secure Graph Based Routing
  
• PQC Key Distribution Graphs for Wireless Networks
  

Paper Submission

Authors are invited to submit papers through the conference Submission System by June 27, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from GRAPH-HOC 2026, after further revisions, will be published in the special issue of the following journals.

• International Journal of Ad hoc, sensor & Ubiquitous Computing (IJASUC)
  
• International Journal of Advanced Smart Sensor Network Systems ( IJASSN )
  
• International Journal on AdHoc Networking Systems (IJANS)
  
• Information Technology in Industry (ITII)

Important Dates

Co - Located Event

• 13^th International Conference on Signal, Image Processing and Multimedia (SPM 2026)
  
• 18^th International Conference on Network and Communications Security (NCS 2026)
  
• 18^th International Conference on Networks & Communications (NeTCoM 2026)
  
• 18^th International Conference on Wireless & Mobile Networks (WiMoNe 2026)
  
• 8^th International Conference on Machine Learning & Applications (CMLA 2026)
  
• 7^th International Conference on Networks & Communications (DMSE 2026)
  
• 7^th International Conference on NLP & Big Data (NLPD 2026)
  
• 7^th International Conference on Advances in Artificial Intelligence Techniques (ArIT 2026)
  
• 8^th International Conference on Internet of Things (CIoT 2026)
  
• 13^th International Conference on Computer Science, Engineering and Information Technology (CSEIT 2026)
  
  

***** The invited talk proposals can be submitted to graphhoc@ciot2026.org