Brooks-Iyengar Algorithm in pub/sub Architecture Using the DEVS Formalism

Technologies that interact with the physical world rely on various types of sensors to measure environment variables. However, sensors can become defective due to aging and harsh conditions, leading to inaccurate readings and incorrect decisions. To address faulty sensors, a distributed network with replicated sensors can be used. In this research, we combine modeling and simulation to develop these applications, proposing the Brooks-Iyengar algorithm for sensor replication in a publish/subscribe architecture. Our approach demonstrates how a modeling and simulation platform can develop embedded applications that achieve multisensory fusion and inexact agreement between nodes. Using the Discrete Event System Specification (DEVS), our models are utilized both in simulation environments and on hardware.