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Sensors 2017, 17(6), 1407; doi:10.3390/s17061407

Dynamic Resource Allocation and Access Class Barring Scheme for Delay-Sensitive Devices in Machine to Machin (M2M) Communnications

College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China
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Authors to whom correspondence should be addressed.
Academic Editor: Yuh-Shyan Chen
Received: 28 March 2017 / Revised: 8 June 2017 / Accepted: 8 June 2017 / Published: 15 June 2017
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Abstract

Supporting simultaneous access of machine-type devices is a critical challenge in machine-to-machine (M2M) communications. In this paper, we propose an optimal scheme to dynamically adjust the Access Class Barring (ACB) factor and the number of random access channel (RACH) resources for clustered machine-to-machine (M2M) communications, in which Delay-Sensitive (DS) devices coexist with Delay-Tolerant (DT) ones. In M2M communications, since delay-sensitive devices share random access resources with delay-tolerant devices, reducing the resources consumed by delay-sensitive devices means that there will be more resources available to delay-tolerant ones. Our goal is to optimize the random access scheme, which can not only satisfy the requirements of delay-sensitive devices, but also take the communication quality of delay-tolerant ones into consideration. We discuss this problem from the perspective of delay-sensitive services by adjusting the resource allocation and ACB scheme for these devices dynamically. Simulation results show that our proposed scheme realizes good performance in satisfying the delay-sensitive services as well as increasing the utilization rate of the random access resources allocated to them. View Full-Text
Keywords: M2M communication; delay-sensitive devices; ACB mechanism; resource allocation; Markov chain M2M communication; delay-sensitive devices; ACB mechanism; resource allocation; Markov chain
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MDPI and ACS Style

Li, N.; Cao, C.; Wang, C. Dynamic Resource Allocation and Access Class Barring Scheme for Delay-Sensitive Devices in Machine to Machin (M2M) Communnications. Sensors 2017, 17, 1407.

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