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Energy Efficient Constellation for Wireless Connectivity of IoT Devices

Reducing energy consumption is one of the most important task of the approaching Internet of Things (IoT) paradigm. Existing communication standards, such as 3G/4G, use complex protocols (active mode, sleep modes) in order to address the waste of energy. These protocols are forced to transmit when o...

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Detalles Bibliográficos
Autores principales: Mucchi, Lorenzo, Ronga, Luca Simone, Jayousi, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412223/
https://www.ncbi.nlm.nih.gov/pubmed/32709090
http://dx.doi.org/10.3390/s20143991
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author Mucchi, Lorenzo
Ronga, Luca Simone
Jayousi, Sara
author_facet Mucchi, Lorenzo
Ronga, Luca Simone
Jayousi, Sara
author_sort Mucchi, Lorenzo
collection PubMed
description Reducing energy consumption is one of the most important task of the approaching Internet of Things (IoT) paradigm. Existing communication standards, such as 3G/4G, use complex protocols (active mode, sleep modes) in order to address the waste of energy. These protocols are forced to transmit when one frame is only partially filled with information symbols. The hard task to adapt the power-saving mode with low latency to the discontinuity of the source is mainly due to the fact that the receiver cannot know a priori when the source has something to transmit. In this paper, we propose a modified signalling/constellation which can save energy by mapping a zero-energy symbol in the information source. This paper addresses the fundamentals of this new technique: the maximum a posteriori probability (MAP) criterion, the probability of error, the (energy) entropy, the (energy) capacity as well as the energy cost of the proposed technique are derived for the binary signalling case.
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spelling pubmed-74122232020-08-17 Energy Efficient Constellation for Wireless Connectivity of IoT Devices Mucchi, Lorenzo Ronga, Luca Simone Jayousi, Sara Sensors (Basel) Article Reducing energy consumption is one of the most important task of the approaching Internet of Things (IoT) paradigm. Existing communication standards, such as 3G/4G, use complex protocols (active mode, sleep modes) in order to address the waste of energy. These protocols are forced to transmit when one frame is only partially filled with information symbols. The hard task to adapt the power-saving mode with low latency to the discontinuity of the source is mainly due to the fact that the receiver cannot know a priori when the source has something to transmit. In this paper, we propose a modified signalling/constellation which can save energy by mapping a zero-energy symbol in the information source. This paper addresses the fundamentals of this new technique: the maximum a posteriori probability (MAP) criterion, the probability of error, the (energy) entropy, the (energy) capacity as well as the energy cost of the proposed technique are derived for the binary signalling case. MDPI 2020-07-17 /pmc/articles/PMC7412223/ /pubmed/32709090 http://dx.doi.org/10.3390/s20143991 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mucchi, Lorenzo
Ronga, Luca Simone
Jayousi, Sara
Energy Efficient Constellation for Wireless Connectivity of IoT Devices
title Energy Efficient Constellation for Wireless Connectivity of IoT Devices
title_full Energy Efficient Constellation for Wireless Connectivity of IoT Devices
title_fullStr Energy Efficient Constellation for Wireless Connectivity of IoT Devices
title_full_unstemmed Energy Efficient Constellation for Wireless Connectivity of IoT Devices
title_short Energy Efficient Constellation for Wireless Connectivity of IoT Devices
title_sort energy efficient constellation for wireless connectivity of iot devices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412223/
https://www.ncbi.nlm.nih.gov/pubmed/32709090
http://dx.doi.org/10.3390/s20143991
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