Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
Mobility modeling in wireless networks: categorization, smooth movement, and border effects
ACM SIGMOBILE Mobile Computing and Communications Review
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
The message delay in mobile ad hoc networks
Performance Evaluation - Performance 2005
Performance modeling of epidemic routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
On the latency for information dissemination in mobile wireless networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Broadcast delay of epidemic routing in intermittently connected networks
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
The capacity of wireless networks
IEEE Transactions on Information Theory
Communication capacity-based message exchange mechanism for delay-tolerant networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Impact of the infrastructure in mobile opportunistic networks
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Criticality condition for information floating with random walk of nodes
Performance Evaluation
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We propose and investigate a deterministic traveling wave model for the progress of epidemic routing in disconnected mobile ad hoc networks. In epidemic routing, broadcast or unicast is achieved by exploiting mobility: message-carrying nodes "infect" non message-carrying nodes when they come within communication range of them. Early probabilistic analyses of epidemic routing follow a "well-mixed" model which ignores the spatial distribution of the infected nodes, and hence do not provide good performance estimates unless the node density is very low. More recent work has pointed out that the infection exhibits wave-like characteristics, but does not provide a detailed model of the wave propagation. In this paper, we model message propagation using a reaction-diffusion partial differential equation that has a traveling wave solution, and show that the performance predictions made by the model closely match simulations in regimes where the well-mixed model breaks down. In particular, we show that well-mixed models are generally overly optimistic in regard to the scaling of the message delivery delay with problem parameters such as communication range, node density, and total area. In contrast to prior work, our model provides insight into the spatial distribution of the "infection," and reveals that the performance is sensitive to the geometry of the deployment region, not just its area.