Toward an evaluation framework for gap filling radars in adaptive distributed sensor networks

A framework is presented for comparing sensor coverage between networks of different spatial and temporal resolutions (long-range vs. short-range adaptive), in the context of their operational constraints. A simulation case study evaluates five levels of spacing between adaptive sensors (30km, 35km,...

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Bibliographic Details
Main Authors: Hogan, B., Bass, E. J.
Format: Conference Proceeding
Language:English
Subjects:
adaptive sensing
Context
Decision making
distributed sensor networks
Meteorology
network topology
performance evaluation
Sensors
Topology
Online Access:Request full text
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Description
Summary:A framework is presented for comparing sensor coverage between networks of different spatial and temporal resolutions (long-range vs. short-range adaptive), in the context of their operational constraints. A simulation case study evaluates five levels of spacing between adaptive sensors (30km, 35km, 40km, 45km, 50km) in the context of neighboring long-range sensors that provide complementary data. Total system performance is assessed with measures of sensor coverage quality based on the number of radar nodes, tilts and cycles and the fraction of the analysis region's horizontal and vertical domain scanned. Using a squall line weather scenario, results show that 3D scanning performance is significantly lower with 45km and 50km spaced adaptive sensors than with 30km spaced nodes. Comparison with complementary long-range sensors shows that short-range adaptive sensors perform significantly greater at altitudes below 20000 ft. Network performance at all altitudes is shown to be significantly improved by considering both network types together when compared to either network alone. The analysis framework presented can help inform decision makers of the expected value added by deploying sensors relative to their type and quantity, for the context in which they will be operating.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2011.6083965