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

Yao Huang, Hui Tian, Jie Zhang, Cheng Qin and Zhibo Wang

International Journal of Distributed Sensor Networks, 2013, vol. 9, issue 9, 318407

Abstract: 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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:9:y:2013:i:9:p:318407

DOI: 10.1155/2013/318407

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