Reliability of Cluster-Based Nodes in Wireless Sensor Networks of Cyber Physical Systems

Abstract Sensors are a crucial component of any intelligent control system. Wireless sensor networks (WSNs) are one of the most rapidly developing information technologies and promise to have a variety of applications in the Internet of Things and for mission critical and safety relevant applications. Clustering is one of the important methods for prolonging the network lifetime in WSNs. It involves grouping of sensor nodes into clusters and electing cluster heads for all the clusters. Reliability is one of the most important attribute of such systems. The main drawback of the wireless sensor network is the restricted power sources of the sensing elements. Expanding the lifetime of the wireless sensor systems, energy preservation measures are vital for enhancing the execution of WSNs. This paper proposes method for increasing autonomy time of sensors in cluster-based WSNs prolongation using redundancy of batteries. In the paper Markov model for reliability analyses of sensor node in cluster-based WSN with proposed method is described. On the base of developed model the boundary value of reliability parameters for automatics in different failure modes is analyzed.

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