Using Fuzzy Method for Event-Driven Top-k Query in Multi-microenvironments Sensor Networks

Fuzzy method provides tools to handle imprecise and uncertain data in relevant, robust and interpretable ways. In this paper, we highlight the multi-microenvironments in sensor network and propose a novel event-driven approximate top-k query solution based on fuzzy method. Firstly, membership function of fuzzy method is introduced to describe the global (potential) event confidence in multi-microenvironments sensor network. Subsequently, non-uniform membership degree sub ranges based linguistic labels instead of numeric values are used for in-network event fusion. Also two event-driven approximate top-k query algorithms are devised. Extensive simulations based on real and synthetic data show that our solution reduces the transmission data significantly and the query results are more interpretable with quality guarantees.