Modeling and Performance Evaluation of the IEEE 802.15.4K CSMA/CA with Priority Channel Access Mechanism Under Fading Channel

Alkama, Lynda; Bouallouche-Medjkoune, Louiza; Bachiri, Lina

doi:10.1007/s11277-020-07584-9

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…Inspired by Bianchi's 20 work, many models of the IEEE 802.15.4 MAC layer have been proposed in the literature. 7,[21][22][23][24][25][26][27] The majority of them are the Markov chain based. [21][22][23][24][25][26][27] Park et al 21 propose a general Markov chain model for the analysis of the IEEE 802.15.4 MAC layer.…”

Section: Related Workmentioning

confidence: 99%

Modeling and parameter analysis of IEEE 802.15.4-based networks and the metering application

Wang

Yang

Han

et al. 2020

International Journal of Distributed Sensor Networks

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As the support of wireless sensor networks expands to various application scenarios, the communication environments and the performance requirements of different application scenarios vary a lot. To cope with different communication environments and performance requirements, both data transmission ability and medium access ability are equivalently important. In this article, a joint analytical model is proposed to fully and precisely estimate networks’ communication performance, energy efficiency, and scalability. In the proposed model, both the physical layer’s and medium access control layer’s key parameters are taken into consideration. By comparing with OPNET-based simulation model, the rationality of the proposed analytical model is first validated under a wide range of network scenarios. Then, a series of simulations under general network scenarios and metering network scenarios are conducted. With these simulations, the performance of adjusting both layers’ parameters in improving communication performance and energy efficiency was proved superior to single-layer’s parameter optimizations. Finally, by comparing the available range of different key parameters’ optimal value under different network scenarios, the maximum backoff numbers and the minimum backoff exponent are considered to be the most effective parameters for metering network optimization.

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