Recurrent Neural Networks for Prediction: Learning Algorithms,Architectures and Stability
Recurrent Neural Networks for Prediction: Learning Algorithms,Architectures and Stability
Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
Probabilistic routing in intermittently connected networks
ACM SIGMOBILE Mobile Computing and Communications Review
Adaptive Routing for Intermittently Connected Mobile Ad Hoc Networks
WOWMOM '05 Proceedings of the Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks
Network coding for efficient communication in extreme networks
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
A community based mobility model for ad hoc network research
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
SCAR: context-aware adaptive routing in delay tolerant mobile sensor networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Opportunistic content distribution in an urban setting
Proceedings of the 2006 SIGCOMM workshop on Challenged networks
Bubble rap: social-based forwarding in delay tolerant networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Middleware for Network Eccentric and Mobile Applications
Middleware for Network Eccentric and Mobile Applications
Neural Networks and Computing: Learning Algorithms and Applications
Neural Networks and Computing: Learning Algorithms and Applications
Spatiotemporal routing algorithm in opportunistic networks
WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
An hierarchical routing protocol for opportunistic emergency networks
Proceedings of the 7th Latin American Networking Conference
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Context information can be used to streamline routing decisions in opportunistic networks. We propose a novel social context-based routing scheme that considers both the spatial and the temporal dimensions of the activity of mobile nodes to predict the mobility patterns of nodes based on the BackPropagation Neural Networks model.