There has been an ever-increasing interest in multi-disciplinary research on multisensor
data fusion technology, driven by its versatility and diverse areas of application. Therefore …

The paradigm of multisensor data fusion has been evolved from a centralized architecture to
a decentralized or distributed architecture along with the advancement in sensor and …

Temperature sensing and control systems are widely used in the closed-loop control of
critical processes such as maintaining the thermal stability of patients, or in alarm systems …

Physical redundancy is a common approach in applications with safety‐critical systems. But
that is not always possible in some structural health monitoring (SHM) applications whether …

Blockchain has the potential to enhance supply chain management systems by providing
stronger assurance in transparency and traceability of traded commodities. However …

One of the major problems in sensor fusion is that sensors frequently provide spurious
observations which are difficult to predict and model. The spurious measurements from …

Wireless sensor networks are being increasingly used in several application areas,
particularly to collect data and monitor physical processes. Non-functional requirements, like …

This paper presents a wavelet transform-based data fusion algorithm for multisensor
systems. With this algorithm, the optimum estimate of a measurand can be obtained in terms …

This paper presents a sensor fusion strategy based on Bayesian method that can identify the
inconsistency in sensor data so that spurious data can be eliminated from the sensor fusion …

The reliability monitoring of sensor arrays is a challenging and critical issue that directly
influences the performance of a measurement and control system. In this paper, a novel …