Next Article in Journal
Response Characterization of an Inexpensive Aerosol Sensor
Next Article in Special Issue
Replication Strategy for Spatiotemporal Data Based on Distributed Caching System
Previous Article in Journal
Extreme Environment Sensing Using Femtosecond Laser-Inscribed Fiber Bragg Gratings
Previous Article in Special Issue
A Game-Theory Based Incentive Framework for an Intelligent Traffic System as Part of a Smart City Initiative
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(12), 2875; doi:10.3390/s17122875

Performance Analysis of a Novel Hybrid S-ALOHA/TDMA Protocol for Beta Distributed Massive MTC Access

College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, China
National Engineering Research Center of Communication and Network Technologies, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Author to whom correspondence should be addressed.
Received: 2 October 2017 / Revised: 5 December 2017 / Accepted: 5 December 2017 / Published: 15 December 2017
View Full-Text   |   Download PDF [2871 KB, uploaded 15 December 2017]   |  


Simultaneous random access of massive machine type communications (MTC) devices are expected to cause congestion in the radio access network. Not only the performance of MTC, but the coexisting human to human (H2H) communications would also degrade dramatically without an appropriate medium access control (MAC) protocol. However, most existing solutions focus on the random access procedure without dealing with the sunsequent data transmission procedure. In this paper, we firstly derive a packet size threshold based on the capacity analysis of slotted ALOHA (S-ALOHA) and time division multiple access (TDMA) protocols. Then a novel hybrid S-ALOHA/TDMA MAC protocol (HSTMAC) is presented for massive MTC access, in which the resources are separated for beta distributed machine to machine (M2M) traffic with small size packets and high priority H2H traffic with large size packets. Considering access class barring (ACB) scheme as an overload control method, the system equilibrium under arbitrary retransmission limit is analyzed rigorously, which can provide insights on quality of service (QoS) guarantee. Finally, a dynamic pre-backoff (DPBO) algorithm is designed for load balance by adaptively scattering the highly synchronized M2M traffic over the transmission interval. Numerical and simulation results validate our analysis and show that the HSTMAC protocol is superior to pure S-ALOHA protocol and pure TDMA protocol. The proposed DPBO algorithm can achieve a higher success probability and resource utilization ratio with a much reduced average delay than that of uniform pre-backoff (UPBO) scheme. View Full-Text
Keywords: machine to machine (M2M); human to human (H2H); random access; hybrid MAC; dynamic pre-backoff (DPBO); equilibrium analysis machine to machine (M2M); human to human (H2H); random access; hybrid MAC; dynamic pre-backoff (DPBO); equilibrium analysis

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Sui, N.; Xu, Y.; Wang, C.; Xie, W. Performance Analysis of a Novel Hybrid S-ALOHA/TDMA Protocol for Beta Distributed Massive MTC Access. Sensors 2017, 17, 2875.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top