Min-Max Based AHP Method for Route Selection in Cognitive Wireless Network

Abstract

Cognitive wireless network is one of efficient wireless transmission methods to solve today's wireless network problems like a lack of wireless radio resource or congestion of wireless bands. However, Cognitive wireless network still has some problems to realize like efficient algorisms, control methods, and technical problems to attain efficient transmission. In this paper, the Min-Max based AHP method for route selection in cognitive wireless network considering is especially discussed. First, at the observation stage, the physical data such as user policy, electric field strength, bit error rate, jitter, latency, packet error rate, and throughput are observed. Then, at the decision stage, AHP (Analytic hierarchy process) is applied for decision making process with those parameters. Finally, the action stage, one of the suitable links and routes is chosen and changed links and networks by the results of the proposal methods. In the simulation, ns2 are used for the computational results to the effectiveness of the suggested transmission methods in cognitive wireless networks.