Evolutionary Multi-Channel Management based on Mobility in Multi-Hops Heterogeneous Wireless Networks

This paper develops an evolutionary multiple channel management based on mobility in multiple hop wireless network. The n-hops limitation theories are proposed first. Based upon these theories, the enhanced multiple channel management is proposed which consists of channel assignment method and topology prediction method. The channel assignment method is based on the enhanced genetic algorithm. Mobile devices are assigned different data channels individually and can be directly established without any RES message cost. All mobile nodes can communicate based upon the assigned potential channels. Also, due to the change of topology of all mobile devices, a topology prediction method is proposed to predict the velocities and directions of all mobile nodes. Simulation shows that the proposed management can make the success communication about 9.7~129.3% more than the competing algorithm.