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

机译:基于IEEE 802.15.4的网络和计量应用的建模与参数分析

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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.
机译:由于无线传感器网络的支持扩展到各种应用方案,通信环境和不同应用方案的性能要求变化很多。为了应对不同的通信环境和性能要求,数据传输能力和中等访问能力都是等效的。在本文中,提出了一种联合分析模型,以完全且精确地估计网络的通信性能,能效和可扩展性。在所提出的模型中,考虑物理层和媒体访问控制层的关键参数。通过与基于OPNET的仿真模型进行比较,在广泛的网络场景下首先验证所提出的分析模型的合理性。然后,进行了一系列在一般网络场景和计量网络方案下的模拟。通过这些模拟,证明了在提高通信性能和能效方面调整层参数的性能,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的最佳值的可用范围,最大退避数字和最小退避指数被认为是用于计量网络优化的最有效参数。

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