Abstract
The work carried out in this paper uses Markov model to propose a new method for evaluating the reliability of wireless sensor networks. At first, WSN is viewed as a probabilistic model with sensor nodes as its vertices and wireless links as the link of this graph. The neighbor of each node is discovered in a forward manner and each node along with neighbor nodes are treated as a connected component. The Markov model is used to find the state of these components and subsequently, the reliability of each component is calculated. The connection among the components is viewed as series and thus, the reliability of WSN is computed as a function of components connected in series. The failure model is described by Weibull distribution. A detailed comparison is made between the proposed method and methods of similar interests in terms of the number of states used for reliability calculation as well as computed reliability values. This comparison clearly shows the proposed method to be an accurate method while using very less number of states to compute the reliability of WSN. Finally, the reliability of WSN is evaluated under different environment like different target areas, node densities as well as a function of time.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
