Abstract
Internet of Things (IoT) systems have been widely adopted daily, and many real IoT systems are phased-mission systems (PMSs), which involve multiple, consecutive, non-overlapping phases of operation. The PMS challenge caused by the varying system configuration and component behavior from phase to phase and the statistical dependency across phases prevents the reliable operation of phased-mission IoT systems. The competing failure behavior between the failure isolation and propagation effects in the time domain is the other threat to robust phased-mission IoT systems when delivering the qualified quality of service to users. However, existing works that address the competing failure behavior in PMS assume that the failure propagation effect affects IoT systems instantaneously, which is not often true in many real-world IoT systems. This paper aims to introduce phased-mission IoT systems and proposes a competing analysis procedure for accurate reliability analysis of PMSs with random failure propagation time. The suggested procedure can be arbitrarily applied to different types of time-to-failure distributions for components in IoT system. A detailed case study on an example body sensor network system is provided to illustrate the proposed competing analysis procedure. The continuous-time Markov chain method is about to be applied to verify the correctness of the method.
Published Version
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