Analysis of MAC protocol of wireless sensor network based on random multi-address access and three-probability joint-control

Abstract

In order to make the system can obtain better throughput rate at low energy consumption under high load on the basis of limited adhere, p-detection and subsection control thought, the paper puts forward a new analysis of MAC protocol on wireless sensor network with muti-probability and joint-control random access, aiming at clustering wireless sensor networks based on event-driving and large amounts of emergent transfer data. The paper adopts average cycle analysis method to model analysis and performance index analysis, obtaining expressions of system throughput rate, average delay and communication energy consumption, etc. Performing simulation of indicators such as system throughput and communication energy consumption by MATLAB, simulation are in accord with theoretical results. MPCMA control protocol can effectively improve performance indicators of wireless sensor network based on random muti-address access under the rough load.The study lays the theoretical foundation for the application of wireless sensor network protocol combined control based on multi-probability under heavy load circumstance

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Acknowledgment

This work is supported by Physical Electronics of Cultivating Discipline Foundation of Chuxiong Normal University (2015PYXK01). Research Application of Fusion Control Technologyof Wireless Sensor Network and Random multiple access system of Three regions Talent Support Program Project of Yunnan Province (2019YNSQ61). Modeling and Performance Analysis of Asymmetric Polling System of Scientific Research Fund Project of Department Education of Yunnan Province (2019J0401).

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Wang, X., Cheng, M. & Liu, Y. Analysis of MAC protocol of wireless sensor network based on random multi-address access and three-probability joint-control. J Ambient Intell Human Comput 11, 3597–3606 (2020). https://doi.org/10.1007/s12652-019-01539-0

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Keywords

  • Wireless sensor network
  • Multi-probability and joint control
  • Random multi-address
  • Average cycle analysis method
  • Performance analysis
  • Experimental analysis