NDLI: A resource allocation approach via the genetic algorithms in electric power communication networks

Content Provider	IEEE Xplore Digital Library
Author	Fei Xia Zongze Xia Xiaobo Huang Xiao Gao
Copyright Year	2014
Description	Author affiliation: State Grid Liaoyang Electr. Power Supply Co., Shenyang, China (Fei Xia; Zongze Xia; Xiaobo Huang) \|\| State Grid Liaoning Electr. Power Co. Ltd., Shenyang, China (Xiao Gao)
Abstract	In this paper, we investigate the resource allocation problems in electric power communication networks. Considering the fundamental issues of resource allocation, we propose a new resource allocation model. In the proposed model, we first involve the social distance parameter to evaluate the relationship between the difference users in the same service requirement set. Then we propose an optimization model to solve the bandwidth problem for each user in a link. The optimization model takes account of a utility function with the social distance function. As an objective function, the utility function can describe the link efficiency perfectly. We finally solve this optimization model by the genetic algorithm. Then we will assess the performance of our method. According to the simulation results, our model can obtain allocate a bandwidth for each user with a high utility.
Starting Page	548
Ending Page	552
File Size	383900
Page Count	5
File Format	PDF
e-ISBN	9781479954582
DOI	10.1109/ICSAI.2014.7009347
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Social distance parameter Genetic algorithm Bandwidth Resource allocation Power systems Numerical models Bandwidth allocation Resource management Communication networks Optimization Electric power communication network Genetic algorithms
Content Type	Text
Resource Type	Article

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