General Similarity Measure for Efficient Query in Large Scale Restricted Floating Sensor Network

The large scale restricted floating sensor (RFS) network is an important model in offshore data collection [1]. Due to the mobility and the large number of sensors, improved techniques are needed to deal with uncertainty and mass queries. As a theoretical basis, this paper constructs a general fuzzy similarity measures based on distance. With examples we illustrate that some common similarity functions can be constructed from these measures. From [2] we know our work over distance and similarity is a reasonable generalization and extension of other Fuzzy Sets. This work provides a theoretical guidance for constructing a fuzzy query processing strategy for RFS networks.