Improved handover decision algorithm using multiple criteria
The transfer of massive data between varied network positions links of network relies on data rate, as well as the traffic capacity of the network. Conventionally, a device that is mobile can be used to attain vertical handover functional by weighing in only an aspect, which refers to Received Signa...
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Main Authors: | , , |
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Format: | Article |
Language: | English English |
Published: |
Elsevier
2018
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Subjects: | |
Online Access: | http://irep.iium.edu.my/67441/1/67441_%20Improved%20Handover%20Decision%20Algorithm%20Using%20Multiple%20Criteria_article.pdf http://irep.iium.edu.my/67441/2/67441_%20Improved%20Handover%20Decision%20Algorithm%20Using%20Multiple%20Criteria_Scopus.pdf http://irep.iium.edu.my/67441/ https://www.sciencedirect.com/science/article/pii/S1877050918317952?via%3Dihub |
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Summary: | The transfer of massive data between varied network positions links of network relies on data rate, as well as the traffic capacity of the network. Conventionally, a device that is mobile can be used to attain vertical handover functional by weighing in only an aspect, which refers to Received Signal Strength (RSS). The application of this particular criterion could lead to interruption in services, ineffective vertical handover, and a network load that is not balanced. Hence, this paper proposes an improvised vertical handover decision algorithm by integrating multi-criteria within a wireless network that is heterogeneous. The proposed algorithm comprised of three vertical handover decision algorithms, namely: mobile weight, network weight, and equal weight. Additionally, three technology interfaces were embedded in this study including Worldwide interoperability for Microwave Access (WiMAX), Wireless Local Area Network (WLAN), and Long-Term Evolution (LTE). As a result, the simulation outcomes demonstrated that the handover decision algorithm for network weight generated exceptional outputs, in comparison to mobile and equal weights, as well as the conventional network decision algorithm from the aspects of handover failure and handover number probabilities. |
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