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.

中文翻译：

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基于 IEEE 802.15.4 的网络和计量应用的建模和参数分析

随着无线传感器网络的支持扩展到各种应用场景，不同应用场景的通信环境和性能要求差异很大。为了应对不同的通信环境和性能要求，数据传输能力和介质访问能力同等重要。在本文中，提出了一种联合分析模型来全面准确地估计网络的通信性能、能源效率和可扩展性。在所提出的模型中，物理层和媒体访问控制层的关键参数都被考虑在内。通过与基于 OPNET 的仿真模型进行比较，首先在广泛的网络场景下验证了所提出的分析模型的合理性。然后，进行了一般网络场景和计量网络场景下的一系列模拟。通过这些模拟，证明调整两层参数在提高通信性能和能源效率方面的性能优于单层参数优化。最后，通过比较不同网络场景下不同关键参数最优值的可用范围，认为最大退避数和最小退避指数是计量网络优化最有效的参数。