TR-UTEDGE-2006-011 Julien.ppt
نویسندگان
چکیده
The development of routing protocols for mobile ad hoc networks is a challenging and active research area, and a variety of approaches have been developed. Among them, geographic routing strategies use knowledge of the devices’ physical positions to achieve efficient routing performance – a critical goal for networks of resource-constrained devices. Strategies have also been developed to perform geographic routing when the physical locations of the nodes are unknown. Many approaches accomplish this by generating virtual coordinates. We propose a new approach for generating virtual coordinates that is inspired by the Kohonen selforganizing feature map (SOM), a neural network approach to unsupervised learning. The self-organizing map has attractive properties including parallelizable training and resilience to changes in its topology. We present our approach and the results of some basic simulations that measure its ability to perform efficient geodesic packet forwarding over its virtual coordinates.
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