A Utility-Based Rate Allocation of M2M Service in Heterogeneous Wireless Environments

This paper presents a dynamic adaptive machine-to-machine (M2M) service rate allocation scheme for optimum traffic distribution in heterogeneous wireless environments (HWEs). According to the M2M service characteristics, it proposes the utility function, which forms a convex optimization problem tha...

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Bibliographic Details
Main Authors: Yao Huang, Hui Tian, Jie Zhang, Cheng Qin, Zhibo Wang
Format: Article
Language:English
Published: Wiley 2013-09-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/318407
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Summary:This paper presents a dynamic adaptive machine-to-machine (M2M) service rate allocation scheme for optimum traffic distribution in heterogeneous wireless environments (HWEs). According to the M2M service characteristics, it proposes the utility function, which forms a convex optimization problem that maximizes the utility of M2M service and can be solved by the Lagrange multiplier. The simulation results show the proposed method convergence, and it can achieve load balance with maximized throughput and minimized cost.
ISSN:1550-1477