Prediction of Received Power in Low-Power and Lossy Networks Deployed in Rough Environments

Prediction of Received Power in Low-Power and Lossy Networks Deployed in Rough Environments | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 22 January 2025 V1 Latest version Share on Prediction of Received Power in Low-Power and Lossy Networks Deployed in Rough Environments Author : Waltenegus Dargie 0000-0002-7911-8081 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.173758409.90587162/v1 Published IEEE Transactions on Instrumentation and Measurement Version of record Peer review timeline 174 views 112 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Cost-efficient and low-power sensing nodes enable to monitor various physical environments. Some of these impose extreme operating conditions, subjecting the nodes to excessive heat or rainfall or motion. Rough operating conditions affect the stability of the wireless links the nodes establish and cause a significant amount of packet loss. Adaptive transmission power control (ATPC) enables nodes to adapt to extreme conditions and maintain stable wireless links and often rely on knowledge of the received power as a closed-feedback system to adjust the power of outgoing packets. However, in the presence of a significant packet loss, this knowledge may not reflect the current state of the receiver. In this paper we propose a lightweight nstep predictor which enables transmitters to adapt transmission power in the presence of lost packets. Through extensive practical deployments and testing we demonstrate that the predictor avoids expensive computation and still achieves an average prediction accuracy exceeding 90% with a low-power radio that supports a transmission rate of 250 kbps (CC2538) and 85% with a lowpower radio that supports 50 kbps (CC1200). Supplementary Material File (adaptive_transmission_power_model2-2.pdf) Download 747.03 KB Information & Authors Information Version history V1 Version 1 22 January 2025 Peer review timeline Published IEEE Transactions on Instrumentation and Measurement Version of Record 1 Jan 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords adaptation internet-of-things link quality prediction low-power networks received power Authors Affiliations Waltenegus Dargie 0000-0002-7911-8081 [email protected] View all articles by this author Metrics & Citations Metrics Article Usage 174 views 112 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Waltenegus Dargie. Prediction of Received Power in Low-Power and Lossy Networks Deployed in Rough Environments. Authorea . 22 January 2025. 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