Optimal QoS service selection in ad-hoc mobile market using analytical hierarchy model

Abstract

The ad-hoc mobile market is the environment that allows the interconnectivity of mobile devices within community of users that are ready to communicate and share services between providers and consumers. Issues like service discovery and selection are major obstacle in ad-hoc mobile. With the growing of this market, researchers are concentrating on service discovery with little on selection. Provision of optimal service in ad-hoc mobile is a challenge and our goal. To address this, most scholars use various algorithms. For example, the dynamic programming or greedy algorithm, but the complexity of these algorithms especially when the number of consumers and providers in the market are many poses a challenge. To tackle this, we propose Analytic Hierarchy Model (AHM). This model uses the QoS criteria as required by consumers and then systematically process it to rank the services to obtain the optimal service. Experiment is conducted using reputation and location as our criteria. The optimal service is selected based on the required QoS of the consumer.