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Stochastic Power Consumption Model of Wireless Transceivers
Letter

Dynamic Transmit Profile Selection in Dense Wireless Networks

Institute of Radiocommunications, Poznan University of Technology, 61-131 Poznan, Poland
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Sensors 2021, 21(1), 134; https://doi.org/10.3390/s21010134
Received: 3 December 2020 / Revised: 19 December 2020 / Accepted: 23 December 2020 / Published: 28 December 2020
(This article belongs to the Special Issue Emerging Technologies in Communications and Networking: 5G and Beyond)
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. View Full-Text
Keywords: adaptive transmission; brain-inspired communications; dense wireless network; energy consumption adaptive transmission; brain-inspired communications; dense wireless network; energy consumption
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MDPI and ACS Style

Kułacz, Ł.; Kliks, A.; Kryszkiewicz, P.; Bossy, B. Dynamic Transmit Profile Selection in Dense Wireless Networks. Sensors 2021, 21, 134. https://doi.org/10.3390/s21010134

AMA Style

Kułacz Ł, Kliks A, Kryszkiewicz P, Bossy B. Dynamic Transmit Profile Selection in Dense Wireless Networks. Sensors. 2021; 21(1):134. https://doi.org/10.3390/s21010134

Chicago/Turabian Style

Kułacz, Łukasz, Adrian Kliks, Paweł Kryszkiewicz, and Bartosz Bossy. 2021. "Dynamic Transmit Profile Selection in Dense Wireless Networks" Sensors 21, no. 1: 134. https://doi.org/10.3390/s21010134

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