A Multi-Level Type II Fuzzy Logic based Prediction of Connectivity in a Wireless Sensor Network

Abstract

Topology, whether fixed or ad hoc is dependent on the availability of a connection between the nodes as well as the stability of the connection. The agricultural monitoring scenario uses inadvertently an ad hoc and randomly places sensor nodes. Therefore, the three factors; availability, stability and connectivity become major parameters to determine the health of the network. Our paper tires to predict the stability and availability of the routes by employing fuzzy inference system at the sink node. During analysis we also observe that the dependence and computations of the aforementioned parameters are multi-faceted and hence one FIS could not accurately interpret the dependence of such factors on the network. Therefore, based on the characteristics of the factors we design a multi-level type I and type II fuzzy system to predict connectivity of a WSN network.