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Simulated Annealing-Based Multilink Selection Algorithm in SDN-Enabled Avionic Networks

delete2021-01-01
delete11
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OA
AI
D
Doanh Kim Luong
M
Muhammad Ali *
Y
Yim Fun Hu
J
Jian-Ping Li
R
Rameez Asif
K
Kanaan Abdo
DOI:10.1109/ACCESS.2021.3121622delete
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Abstract

Abstract

En 中文
In this paper, a novel multilink selection framework is developed for different applications with various quality of service (QoS) requirements in avionic systems, based on the multi-attribute decision-making model. Two metaheuristic algorithms are proposed to solve this model while optimizing the multilink selection performances. Multilink configuration and multi-homing capabilities are generally required for aircrafts operating in a heterogeneous wireless network environment. The first algorithm, called Analytic Hierarchy Process and Simulated Annealing (AHP-SA), utilizes a two-phase process. In Phase one, an analytic hierarchy process (AHP) is used to choose the decision weight factors. Then, in Phase two, a simulated annealing process is applied to select suitable networks, for various service requests, based on the weights obtained from first phase. Further, to improve customer satisfaction, Simulated Annealing algorithm for Simultaneous Weights and Network Selection Optimisation (SA-SWNO) is developed, in which a simulated annealing algorithm is applied to dynamically optimize weight factors of objective functions and the request-to-network assignment matrix. Simulation results demonstrate that both proposed algorithms outperform the commonly used price-based or QoS-based network selection scheme with much higher averaged satisfaction degree and lower computational complexity.
Keywords:
Aircraft
Simulated annealing
Comets
Quality of service
Aerospace electronics
Rats
Analytic hierarchy process
Avionic
multi-attribute utility
network selection
simulated annealing
multilink and multi-homing

Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

Organization

U
University of Bradford
Scholars:
3.3K
Papers: 3.5K
Citations: 4.2K