Subscribing to fuzzy temporal aggregation of heterogeneous sensor streams in real-time distributed environments

Because of the deployment of heterogeneous sensors in intelligent environments, the fusion and information processing means an arduous and complex process. The data fusion of sensors and the design of processing information in real time are key aspects in order to generate feasible solutions. In order to shed light on this context, we present an approach for distributing and processing heterogeneous data based on a representation with fuzzy linguistic terms. In this way, the heterogeneous data from sensor streams are computed and summarized based on fuzzy temporal aggregations ubiquitously within mobile and ambient devices. This innovative approach provides an intuitive linguistic representation of mobile and ambient sensors as well as implies a drastic reduction of the communication burden. In order to provide high scalability in network communication, the information from sensor is spread under the publication-subscription paradigm, where subscribers receive asynchronous events when the aggregation degree of the linguistic terms overcomes a threshold (alpha-cut). Finally, in order to illustrate the usefulness and effectiveness of our proposal, we present the results of the fuzzy temporal aggregation of sensor streams with alpha-cut subscriptions in a case study where an inhabitants performs an daily activities in an intelligent environment. Copyright (C) 2016 John Wiley & Sons, Ltd.