Abstract:
This paper introduces a new trust model and a reputation
system for wireless sensor networks based on a sensed
continuous data. It establishes the continuous version of the
beta reputation system introduced in [1] and applied to
binary events and presents a new Gaussian Reputation
System for Sensor Networks (GRSSN) . We introduce a
theoretically sound Bayesian probabilistic approach for
mixing second-hand information from neighbouring nodes
with directly observed information.
