Wearable Computers as Packet Transport Mechanisms in Highly-Partitioned Ad-Hoc Networks
ISWC '01 Proceedings of the 5th IEEE International Symposium on Wearable Computers
A message ferrying approach for data delivery in sparse mobile ad hoc networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Spray and wait: an efficient routing scheme for intermittently connected mobile networks
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
DTN routing in a mobility pattern space
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
Robust content dissemination in disrupted environments
Proceedings of the third ACM workshop on Challenged networks
Mobility entropy and message routing in community-structured delay tolerant networks
Proceedings of the 4th Asian Conference on Internet Engineering
Energy-efficient Tree-based Message Ferrying Routing Schemes for Wireless Sensor Networks
Mobile Networks and Applications
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While current on-demand routing protocols are optimized to take into account unique features of mobile ad hoc networks (MANETs) such as frequent topology changes and limited battery life, they often do not consider the possibility of intermittent connectivity that may lead to temporary partitions. In this work, we introduce the Space-Content-adaptive-Time Routing (SCaTR) framework, which enables data delivery in the face of both temporary and long-lived MANET partitions. SCaTR takes advantage of past connectivity information to effectively route traffic towards destinations when no direct route from the source exists. We show through simulations that, when compared to traditional on-demand protocols, as well as Epidemic routing, SCaTR increases delivery ratio with lower signaling overhead in a variety of network scenarios with intermittent connectivity. We also show that SCaTR performs as well as on-demand routing in scenarios that are well-connected, and/or have no mobility predictability (e.g., scenarios with random mobility).