ENERGY-EFFICIENT QOS AWARE DATA TRANSMISSION IN MANET USING KIF-SDKMEANS AND ZS-AOA

Abstract

Mobile Ad-hoc Network (MANET) is one of the recent fields in wireless communication that involves a large number of wireless nodes. Energy efficiency in data transmission is a major problem in MANET because the infrastructure of a network changes frequently, which results in data loss and communication overheads. The problem of energy efficiency in routing in mobile Ad-hoc networks has been approached in different methods. However, they suffer to achieve the required performance in the quality of service. So, to tackle such problems, the work proposed a novel energy-efficient QoS data transmission in MANET using KIF-SDK Means and ZS-AOA. Initially, the number of mobile nodes is initialized randomly and the mobile nodes are clustered together using efficient clustering techniques such as Kriging Interpolation based Fuzzy (KI-FUZZY) algorithm and Supremum Distance-based KMeans (SD-KMeans). Cluster heads are selected by using the KI-FUZZY algorithm and clustering was done by using SD-KMeans. Next, the test data transmission was done in order to invoke the routing between the nodes using Butterfly Effect Fruit fly Optimization Algorithm based Ad Hoc On-Demand Distance Vector (BEF-AODV). After test transmission, multiple routing paths are created. Finally, from the multiple created paths, the optimal routing paths are selected by using ZScore based Archimedes Optimization Algorithm (ZS-AOA) to perform energy-efficient base data transmission. The results show that the proposed model gives better performance for energy-efficient QoS data transmission in MANET than existing models.