Title of article
Estimating cellular network performance during hurricanes
Author/Authors
Graham Booker، نويسنده , , Jacob Torres، نويسنده , , Seth Guikema، نويسنده , , Alex Sprintson، نويسنده , , Kelly Brumbelow، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
8
From page
337
To page
344
Abstract
Cellular networks serve a critical role during and immediately after a hurricane, allowing citizens to contact emergency services when land-line communication is lost and serving as a backup communication channel for emergency responders. However, due to their ubiquitous deployment and limited design for extreme loading events, basic network elements, such as cellular towers and antennas are prone to failures during adverse weather conditions such as hurricanes. Accordingly, a systematic and computationally feasible approach is required for assessing and improving the reliability of cellular networks during hurricanes. In this paper we develop a new multi-disciplinary approach to efficiently and accurately assess cellular network reliability during hurricanes. We show how the performance of a cellular network during and immediately after future hurricanes can be estimated based on a combination of hurricane wind field models, structural reliability analysis, Monte Carlo simulation, and cellular network models and simulation tools. We then demonstrate the use of this approach for assessing the improvement in system reliability that can be achieved with discrete topological changes in the system. Our results suggest that adding redundancy, particularly through a mesh topology or through the addition of an optical fiber ring around the perimeter of the system can be an effective way to significantly increase the reliability of some cellular systems during hurricanes.
Keywords
simulation , Reliability assessment , Structural reliability , Cellular communications
Journal title
Reliability Engineering and System Safety
Serial Year
2010
Journal title
Reliability Engineering and System Safety
Record number
1188133
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