A delay-tolerant network architecture for challenged internets
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
The message delay in mobile ad hoc networks
Performance Evaluation - Performance 2005
Performance analysis of mobility-assisted routing
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
A new networking model for biological applications of ad hoc sensor networks
IEEE/ACM Transactions on Networking (TON)
Performance modeling of epidemic routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Delay and capacity trade-offs in mobile ad hoc networks: a global perspective
IEEE/ACM Transactions on Networking (TON)
The ONE simulator for DTN protocol evaluation
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Many-to-many communication for mobile ad hoc networks
IEEE Transactions on Wireless Communications
Information propagation speed in mobile and delay tolerant networks
IEEE Transactions on Information Theory
An Energy-Efficient n-Epidemic Routing Protocol for Delay Tolerant Networks
NAS '10 Proceedings of the 2010 IEEE Fifth International Conference on Networking, Architecture, and Storage
Independent DTNs message deletion mechanism for multi-copy routing scheme
Proceedings of the Sixth Asian Internet Engineering Conference
Analytical model of epidemic routing for delay-tolerant networks
Proceedings of the 1st ACM workshop on High performance mobile opportunistic systems
| Hi-index | 0.00 |
A Delay and Disruption-Tolerant Network (DTN) is a fault-tolerant network where end-to-end connections are not required for message transmissions between nodes. Usually, a DTN is implemented as a wireless mobile ad hoc network that can be applied, for instance, to rapidly build a basic telecommunication infrastructure in case of catastrophes and disasters, or to support communication in a disruptive military environment. It is important to model DTN behavior to better understand system dynamics and related physical laws, which may impact network performance. An accurate model will be useful to support the design of the network in such challenging scenarios and may allow to test design ideas before actually building the real system. This work proposes a mathematical model for message diffusion in epidemical DTN. Our approach is based on previous models for the spread of human epidemical diseases, namely SIR. Simulation results on message diffusion times in an epidemical DTN show that the model is accurate regarding expected values, however large deviations above and below average are also observed on diffusion times. We further study such deviations and provide insights on how to reduce and deal with them, making the model useful for DTN applications.