A Genetic Improved Quantum Cryptography Model to Optimize Network Communication

Abstract

The communication becomes more critical when the network is having high speed mobility and restricted coverage. WPAN is one such network defined for indoor network and with smaller sensing limit. In this work, a quantum inspired encoded communication is provided to improve the communication reliability and security. The work model is defined for a randomly distributed and high mobility based WPAN network. At first phase of this model, the node level characterization is applied under coverage, stability and load parameters. Later on genetic model is applied to identify the most effective communication pair. Finally, the quantum key based SHA is applied to perform the data encoded. This encoded communication is performed over the network. The comparative results shows that the work model has reduced the communication loss over the network