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A network of mobile cooperative sensors is considered. The followingproblems are studied:(1) the “optimal" deployment of the sensors on a given territory;(2) the detection of local anomalies in the noisy data measured by thesensors.In absence of an information fusion center in the network, from “local" interactions between sensors “global" solutions of these problems are found.

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Rates can account for population size and time intervals. To generate a rate, the population from which the counts arose must be defined. Population size is a common choice for a denominator. Many geopolitical regions, such as cities or countries, create estimates of the population during a given year. Cumulative incidence is commonly used when the entire population from which the incident cases arise can be counted and followed to the conclusion of the observation period. Proportional incidence or proportional mortality is sometimes used when an accurate denominator is not available. A more formal statistical test of a difference in two proportions is the chi-squared test; large sample and exact methods are available in virtually any statistical package. To compare the rates of injury in two or more regions, or between time periods, it is sometimes desirable to adjust for other factors, which may confound the comparison.

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A Cooperative Sensor Network: Optimal Deployment and Functioning

5 - Rates, Rate Denominators, and Rate Comparisons

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2 results

A Cooperative Sensor Network: Optimal Deployment and Functioning

5 - Rates, Rate Denominators, and Rate Comparisons

Summary