Performance analysis of a non-beacon enabled IEEE 802.15.4 network with retransmission and ACK mode
Yang Chen, Zhong-Yi Wang, Lan Huang

TL;DR
This paper evaluates the performance of non-beacon IEEE 802.15.4 networks with ACK and retransmission limits, using analytical models and neural networks to predict key parameters for practical deployment.
Contribution
It introduces analytical models for non-beacon IEEE 802.15.4 networks and trains neural networks to predict network performance parameters.
Findings
Analytical models accurately predict throughput and reliability.
Neural networks effectively forecast node number and delay.
Models assist practical network deployment decisions.
Abstract
The aim of our work is to evaluate the performance of non-beacon IEEE 802.15.4 networks with acknowledgement (ACK) mode and retransmission limits in a finer time unit. Moreover, we predict network performance parameters using backpropagation artificial neural networks (BP-ANNs) with respect to a given quality of service for real-world applications. Therefore, our proposed methods can assist the deployment of a star network with its performance specified in a more practical way. First, the discrete time Markov chain model and M/M/1/k queue are used to describe the full unslotted carrier sense multiple access with collision avoidance (CSMA/CA) algorithm in a non-beacon network. Considering MAC buffer size, unsaturated traffic, and saturated traffic, we build three analytical models to derive eight important performance metrics, e.g., throughput, delay, and reliability. In addition,…
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Taxonomy
TopicsWireless Networks and Protocols · Energy Efficient Wireless Sensor Networks · IoT Networks and Protocols
