Information fusion for wireless sensor networks: Methods, models, and classifications

640 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Vehicular Ad Hoc Networks: A New Challenge for Localization-Based Systems (2008, methodology): “For context fusion, inference methods such as Bayesian inference, Dempster-Shafer, Fuzzy Logic, and Neural Networks [32] can be used to combine position estimations and context information.”
Multi-sensor Data Fusion with Dynamic Component for Context Awareness (2012, background): “The destinations of Ubiquitous Sensor Network (USN) are context awareness and personalization services.”
Context Aware Computing for The Internet of Things: A Survey (2013, methodology): “Data fusion methods, models, and classification techniques in the wireless sensor networks domain are comprehensively surveyed in [190].”
Near-Threshold RISC-V Core With DSP Extensions for Scalable IoT Endpoint Devices (2017, neutral): “d = a[0] · b[0] + a[1] · b[1] + a[2] · b[2] + a[3] · b[3]”
City Data Fusion: Sensor Data Fusion in the Internet of Things (2015, background): “Nakamura et al. [52] have defined data fusion based on three key operations: complementary, redundant, and cooperative.”