Analysis on route selection by mobile agents using genetic algorithm

Mobile agents often have the task to collect data from several predefined sites from the Internet. The tasks should be done in an efficient way by minimizing the elapsed time. This paper shows the optimal threshold point depends on the number of visits the mobile agent takes where the collected network information does not get outdated by using a genetic algorithm. Our mobile agent for routing algorithm tries to minimize the query retrieval cost while maintaining a reasonable path delay. Simulations results show that the proposed routing algorithm is able to obtain a better solution with different running parameters.