Balance Cluster Routing Algorithm for Expanding Wireless Networks (BaCRA-EWN)

Abstract

Objectives: The wireless routing model has been specifically designed for the energy efficient and secure routing among the ad-hoc networks. Methods/Statistical Analysis: The proposed ad-hoc routing model is designed to remove the possibility of the connectivity holes, which may be produced due to the false network route injections or due to the wormhole or blackhole attacks. In this paper, a robust connectivity integrity assurance (CIA) model has been proposed based upon the genetic algorithm in order to realize the highly flexible blackhole avoidance model. Findings: The proposed model has been tested over the standard wireless ad-hoc network topology for the performance based assessment of the wireless network performance under the security paradigm where the parameters of maximum throughput, end-to-end transmission delay, and overall network load, etc. The proposed model has been found efficient under all of the experiments, and have clearly outperformed the existing paradigms and security models for the secure routing over wireless ad-hoc platforms. Application/Improvements: The proposed model has been specifically designed for the energy efficient, lifetime enhancement and higher order security and privacy of the data over the ad-hoc networks.