The complexity of robot motion planning
The complexity of robot motion planning
IEEE Transactions on Visualization and Computer Graphics
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
Interactive Visualization of Small World Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
MASSIVE: An Emulation Environment for Mobile Ad-Hoc Networks
WONS '05 Proceedings of the Second Annual Conference on Wireless On-demand Network Systems and Services
Network planning in wireless ad hoc networks: a cross-Layer approach
IEEE Journal on Selected Areas in Communications
Visualizotion toot for ad hoc networks [Book Review]
IEEE Network: The Magazine of Global Internetworking
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Resource allocation in ad hoc communication networks is a field of high complexity because of both i) the distributed nature of the interactions between the nodes, and ii) the large set of control variables for even the most primitive networks. Visual representation of this information across physical space and across layers of the network can greatly benefit the understanding of efficient allocation policies in these complex systems. Yet, very few software packages have been developed to address specifically this task, especially for large scale networks. We develop such a software system, and demonstrate some of its capabilities. The system illustrates that multi-layered visualization of the network state can be an effective tool at making network design decisions even in the face of uncertainty and for a large number of network interactions.