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Treffer: A Composite Weight Based Access Network Selection Algorithm in Marine Internet

Title:
A Composite Weight Based Access Network Selection Algorithm in Marine Internet
Authors:
Zhou, Liang, Jiang, Shengming
Contributors:
Shanghai Maritime University, Shanghai Municipal Educational Examinations Authority, Zhongzhi Shi, Ben Goertzel, Jiali Feng, TC 12
Source:
2nd International Conference on Intelligence Science (ICIS). :435-444
Publisher Information:
CCSD; Springer International Publishing, 2017.
Publication Year:
2017
Collection:
collection:IFIP
collection:IFIP-AICT
collection:IFIP-TC
collection:IFIP-TC12
collection:IFIP-AICT-510
collection:IFIP-ICIS
Subject Terms:
Marine internet, Access method, Analytic Hierarchy Process (AHP), Entropy, Exata simulation, [INFO]Computer Science [cs]
Subject Geographic:
Shanghai, China
Original Identifier:
HAL: hal-01820926
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-68121-4_47
DOI:
10.1007/978-3-319-68121-4_47
Access URL:
https://inria.hal.science/hal-01820926
https://inria.hal.science/hal-01820926v1/document
https://inria.hal.science/hal-01820926v1/file/978-3-319-68121-4_47_Chapter.pdf
Rights:
info:eu-repo/semantics/OpenAccess
URL: http://creativecommons.org/licenses/by/
Accession Number:
edshal.hal.01820926v1
Database:
HAL

Weitere Informationen

Part 6: Intelligent Applications
The 21st century is the ocean century, and ocean informatization is one of the key requirements. Marine Internet (MI) is the basic infrastructure of ocean informatization, so developing the MI technology is of great significance. There are several access networks maybe available in a MI system, and a network user has to choose the best one to support the application. The selection scheme needs to consider may factors in order to make a smart decision, which is a multi-index decision problem. These factors include user preferences, business types, and the performance as well as cost of alternative access networks. Combining with the Analytic Hierarchy Process (AHP) algorithm and entropy theory, we develop a method for the user to select access networks in a smart way. It adopts subjective and objective weights and a utility function to select the target access network. The simulation results carried out on the Exata platform show that the proposed scheme can improve the network performance with reduced cost.