24 October 2012 A novel prediction methodology for detecting failures and instabilities in directional wireless networks
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Abstract
Even though advances in wireless technology have yielded lower power consumption, higher data rates, and numerous other improvements, the ability to develop a proactive strategy towards handling degradations and failures in directional wireless networks has evaded the research community. In this paper, we introduce a methodology using an analogy to molecular systems in which a directional wireless network utilizing free space optical (FSO) or RF links is modeled as a molecule whose links can grow/retract similarly to bonds. A normal mode analysis (NMA) is performed to identify link instabilities (degradations and failures) and an N-dimensional potential energy surface (PES) is derived with respect to network and environmental parameters to aide in the detection of when a new topology is available ahead of the topology computation stage. Together, the NMA and PES form a basis for a proactive network methodology aimed at improving performance in directional wireless networks.
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David M. Coleman, David M. Coleman, Stuart D. Milner, Stuart D. Milner, Christopher C. Davis, Christopher C. Davis, } "A novel prediction methodology for detecting failures and instabilities in directional wireless networks", Proc. SPIE 8517, Laser Communication and Propagation through the Atmosphere and Oceans, 851705 (24 October 2012); doi: 10.1117/12.970510; https://doi.org/10.1117/12.970510
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