Artificial Intelligence

   

Consensus Seeking on Moving Neighborhood Model of Random Sector Graphs

Authors: Mitra Ganguly, Timothy Eller

In this paper, we address consensus seeking problem of dynamical agents on random sector graphs. Random sector graphs are directed geometric graphs and have been investigated extensively. Each agent randomly walks on these graphs and communicates with each other if and only if they coincide on a node at the same time. Extensive simulations are performed to show that global consensus can be reached.

Comments: 5 Pages. technical report in NUI, #551

Download: PDF

Submission history

[v1] 2012-07-06 10:56:56

Unique-IP document downloads: 116 times

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