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Dynamic Transmit Profile Selection in Dense Wireless Networks

机译:密集无线网络中的动态传输配置文件选择

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摘要

The development of wireless networks can be characterized by both the increased number of deployed network nodes as well as their greater heterogeneity. As a consequence, the distance between the neighboring nodes decreases significantly, the density of such a wireless network is very high, and it brings to the mind the analogy to the human brain and nervous system, where a highly simplified scheme of information delivery is applied. Motivated by this similarity, in this paper, we study the possibility of the application of various transmission profiles in order to optimize the overall energy consumption in such dense wireless networks. The transmission profile specifies the radio access and energy consumption of the wireless transceiver (network node), and is characterized by the tuple of parameters, e.g., the total transmit power or minimal required signal-to-noise ratio (SNR). In the considered multi-hop network, we assume that each node can be set to the most promising transmission profile to achieve some predefined goals, such as (sensor) network reliability or transmission energy efficiency. We have proposed the new graph-based routing algorithm in such a dense wireless network, where total power consumption of message delivery is minimized by multihop and multimode transmission. The theoretical definition of the prospective transmission schemes is supported by the analysis of the results of the simulation experiments.
机译:无线网络的开发可以通过增加数量的部署网络节点以及它们更大的异质性来表征。因此,相邻节点之间的距离显着降低,这种无线网络的密度非常高,并且它将与人脑和神经系统的心灵带来比喻,其中应用了高度简化的信息交付方案。通过这种相似性,在本文中,我们研究了应用各种传输配置文件的可能性,以便优化这种密集的无线网络中的整体能量消耗。传输配置文件指定无线收发器(网络节点)的无线电接入和能量消耗,并且其特征在于参数的元组,例如,总发射功率或最小所需的信噪比(SNR)。在所考虑的多跳网络中,我们假设每个节点可以被设置为最有前途的传输配置文件,以实现一些预定义的目标,例如(传感器)网络可靠性或传输能效。我们已经提出了这种密集的无线网络中的新图形路由算法,其中通过多跳和多模传输最小化了消息传递的总功耗。通过分析模拟实验结果的分析来支持预期传输方案的理论定义。

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