1st IEEE International Workshop on Molecular and Nano Scale Communication (MoNaCom)
Committees and welcome
Sunday, April 10
2:05 PM - 3:35 PM
SESSION I: Nanonetworking Communication Techniques
Chair: Sasitharan Balasubramaniam (TSSG, Waterford Institute of Technology, Ireland)
- On attractant scheduling in networks based on bacterial communication
- pp. 419-424
- A Nanoscale Communication Channel with Fluorescence Resonance Energy Transfer (FRET)
- pp. 425-430
- PHLAME: A Physical Layer Aware MAC Protocol for Electromagnetic Nanonetworks
- pp. 431-436
- Characterization of signal propagation in neuronal systems for nanomachine-to-neurons communications
- pp. 437-442
- Simulation-based Evaluation of the Diffusion-based Physical Channel in Molecular Nanonetworks
- pp. 443-448
4:00 PM - 5:30 PM
SESSION II: Networking Concepts for Molecular Communication
Chair: Albert Cabellos-Aparicio (Universitat Politècnica de Catalunya, Spain)
- Artificial Backbone Neuronal Network for Nano Scale Sensors
- pp. 449-454
- Addressing by Beacon Coordinates using Molecular Communication
- pp. 455-460
- Effects of Routing for Communication via Diffusion System in the Multi-node Environment
- pp. 461-466
- Diffusion-based Channel Characterization in Molecular Nanonetworks
- pp. 467-472
- A Simple Mathematical Model for Information Rate of Active Transport Molecular Communication
- pp. 473-478
5:30 PM - 6:30 PM
SESSION III: Short Presentations
Chair: Jian-Qin Liu (National Institute of Information and Communications Technology, Japan)
- Micropatterning of Different Kinds of Biomaterials As a Platform of a Molecular Communication System
- pp. 479-484
- A neural nanonetwork model based on cell signaling molecules
- pp. 485-489
- Autonomous Excitation Transfer in Quantum Dot Mixtures via Network of Optical Near-Field Interactions at the Nanoscale
- pp. 490-494
- A Robust Controller of Dynamic Networks and Its Verification by the Simulation of the Heat Shock Response Network with Reliable Signal Transmission
- pp. 495-500
- Repeater Design and Modeling for Molecular Communication Networks
- pp. 501-506