Performance evaluation of multiple attribute mobility decision models: A QoE-efficiency perspective
Charles Santos, Mathews P. S. Lima, Felipe S. Dantas Silva, Augusto Neto · 2017
Future mobility management systems need to in-corporate innovative methods to improve mobile multimedia networking, such as quality-oriented decision-making functions for selecting the best Point of Attachment (PoA) for in-transit Moving Objects (MOs). Among the various correlating algorithms raised in the literature, solutions based on the Multiple Attribute Decision Making (MADM) are beneficial by their efficiency in mobile multimedia networking. For the best of our knowledge, the literature lacks a comprehensive analysis concerning the subjective aspects related to user perception/satisfaction, the key to assessing multimedia Quality of Experience (QoE). The state of the art in MADM quality-oriented mobility management evaluation only address network-/packet-level Quality of Service (QoS) measures. Therefore, this work fills this gap by undertaking a user-centric QoE evaluation of the foremost available MADM-based algorithms used in quality-oriented mobility management over our previous work: the Extended Elitism for Best Selection (E2BS). The QoE evaluation is conducted leveraging the flexibility of the Software-Defined Mobile Networking (SDMN) paradigm. The QoE analysis outcomes demonstrate that E2BS outperforms the selected MADM-based methods, by improving the overall QoE perceived by mobile users when consuming multimedia mobile flows.