Axiomatic multi-transport bargaining: a quantitative method for dynamic transport selection in heterogeneous multi-transportwireless environments

Transport selection mechanisms are designed to facilitate seamless connectivity in heterogeneous multi-transport environments, allowing access to the "best" available transport according to user requirements. Evaluating transport configurations dynamically according to the user\´s preferences and quality of service (QoS) requirements is a challenging task. This paper describes a quantitative approach that applies the Utility Theorem and Nash\´s Bargaining solution to heterogeneous wireless environments. The mathematical model presented generates and adjusts the transport preference list dynamically depending on the degree to which a transport satisfies user preferences and the application\´s QoS requirements. We incorporate a negotiation engine using the axiomatic multi-transport bargaining algorithm to integrate local and remote users\´ requirements in a mutually beneficial manner as devices are connected via a peer-to-peer link. The transport selection model discussed in this paper is computationally light with modest communication overhead, making it suitable for mobile devices