Journal international d'intelligence d'essaim et de calcul évolutif

Abstrait

Topology Control of Wireless Sensor Network Using Quantum Inspired Genetic Algorithm

Sajid Ullah and Mussarat Wahid

In this work, an evolving Linked Quantum Register has been introduced, which are group vector of binary pair of genes, uses local topological space to represent those nodes. The optimal points of node for topology control have high connectivity and have low energy consumption, and have interference at low. The register works in higher dimension. In this modeling order-2 Quantum Inspired Genetic Algorithm has been used and higher order can be used to achieve greater versatility in topology control of nodes. Numerical result has been obtained, analysis is done as how the result has previously been obtained with Quantum Genetic Algorithm and results are compared too. For future work, metrics for LQR are hinted which would exploit the algorithm to work in more computational intensive problem.