A novel prediction methodology for detecting failures and instabilities in directional wireless networks

David M. Coleman; Stuart D. Milner; Christopher C. Davis

doi:10.1117/12.970510

24 October 2012 A novel prediction methodology for detecting failures and instabilities in directional wireless networks

David M. Coleman, Stuart D. Milner, Christopher C. Davis

Author Affiliations +

Proceedings Volume 8517, Laser Communication and Propagation through the Atmosphere and Oceans; 851705 (2012) https://doi.org/10.1117/12.970510
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

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.

Citation Download Citation

David M. Coleman, Stuart D. Milner, and 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); https://doi.org/10.1117/12.970510

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