Finite state Markovian model for trustworthy reliable communication in dynamic reconfigurable Wireless Sensor Network architecture

Wireless Sensor Networks (WSNs) are constrained by a limited energy sources. Trust in a WSN is defined as the amount of confidence obtained from the individual node with respect to its data collecting, composing and communication (C
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) probability with other peered nodes. Trustworthiness and energy optimization of Wireless Sensor Networks (WSNs) is an active research topic. Trustworthiness of a WSN majorly influenced by security, reliability, mobility and communication models. As the topology of the network alters according to mobility of the node, getting trustworthiest system is very difficult. Reconfigurable techniques modify the system in a controlled manner, and provides adaptability, proposed a Reconfigurable Wireless Sensor Network Architecture (RWSNA) using Markovian chain model for the enhancement of the trustworthiness of the WSN system for reliable communication at runtime with energy optimization. The trust values have been simulated based on the Markovian model based Finite State Machine (FSM) logic of our proposed RWSNA system has been simulated using MATLAB and Simulink and corresponding waveforms of the WSN has been captured and presented.