Hybrid Link States Predicting Model for Cluster Head Selection and its Routing Analysis for WSN MANETS

Sensing and prediction of the wireless data have become the important factors to realize the design factors and its network. To ensure the efficient design model and its importance of the design network for wireless applications relating to different performance parametric, imparts different design models and algorithms to fulfil the necessity of the user’s requirement. LEACH with fuzzy logic and genetic algorithms, have been implemented to improve the energy efficiency with the formulation to reduce the energy by efficient optimization algorithm which ensures different scenario where LEACH with GA and Fuzzy are implemented and formulated. Cluster head modelling and its energy parameters, with data rate, transfer rate, and its real time application are important. In order to design an effective model for cluster head issues, a hybrid clustering model with DEEC and OLS Algorithm as the hybrid link state prediction analysis has been proposed. This model and its functional analysis feature with the probabilistic model on the energy efficiency. The efficacy of the different Cluster Head and its values depend on specific scenario on consistency of the Energy clusters. Improvising on the existing model resulted with current features depicting 10% improved energy efficacy on each set of algorithms GA, FUZZY with LEACH as tabulated.