A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network

Hindia, M.N. and Reza, A.W. and Noordin, K.A. (2015) A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network. International Journal of Distributed Sensor Networks. p. 8. ISSN 1550-1329, DOI https://doi.org/10.1155/2015/604752.

PDF (A Novel Scheduling Algorithm Based on Game Theory and Multicriteria Decision Making in LTE Network)
A_Novel_Scheduling_Algorithm_Based_on_Game_Theory.pdf - Published Version

Download (1MB)
Official URL: http://downloads.hindawi.com/journals/ijdsn/aip/60...


Fourth generation wireless networks provide mobile users with high data rate and quality of services, such as Long Term Evolution (LTE), which has been developed by the 3rd Generation Partnership Project (3GPP). However, 3GPP is not a standardized scheduling algorithm to utilize LTE properties in smart grid applications. This paper proposes a two-level scheduling scheme composed of cooperative game theory (bankruptcy and shapely) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). The proposed algorithm improves resource allocation for three smart grid applications, namely, voice, video surveillance, and metering data. On the first level, bankruptcy and shapely value algorithm fairly distribute the resources among smart grid applications. On the second level, TOPSIS algorithm allocates the resources among application's users based on their criteria and the application's preferences. Moreover, the system's performance has been evaluated in terms of throughput, delay, and fairness index. The proposed algorithm is compared with existing algorithms, such as proportional fairness, modified largest weighted delay first, and exponential rule schemes. The results show a significant improvement compared to other algorithms. This paper presents a novel technique consisting of both TOPSIS and game theory algorithms to study three smart grid applications. The novel algorithm has proven to be an effective scheduling technique for smart grid applications.

Item Type: Article
Additional Information: Cf2zu Times Cited:0 Cited References Count:24
Uncontrolled Keywords: Resource-allocation
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 23 Jul 2015 00:22
Last Modified: 23 Jul 2015 00:22
URI: http://eprints.um.edu.my/id/eprint/13750

Actions (login required)

View Item View Item