Evidence map›Paper›PMID 33003319›Full record

ArticleSensors (Basel, Switzerland)2020

Hardware Impaired Self-Energized Bidirectional Sensor Networks over Complex Fading Channels.

Stefan R Panic, Dushantha Nalin K Jayakody, Sofiene Affes, Palanivelu Muthuchidambaranathan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stefan R PanicSchool of Computer Science and Robotics, National Research Tomsk Polytechnic University, 634050 Tomsk, Russia.
Dushantha Nalin K JayakodySchool of Computer Science and Robotics, National Research Tomsk Polytechnic University, 634050 Tomsk, Russia.ORCID 0000-0002-7004-2930
Sofiene AffesInstitut National de la Recherche Scientifique Centre Énergie, Matériaux et Telecommunications, Montreal, QC H5A 1K6, Canada.ORCID 0000-0002-1729-3503
Palanivelu MuthuchidambaranathanECE Department, National Institute of Technology Tiruchirappalli, Tamilnadu 620015, India.

Funding

Russian Federation State Project Science Grant No. 8.13264.2018/8.9SPARC project India. P-145 of MHRD,
6 · The paper itself

Abstract

Rapid emergence of wireless sensor networks (WSN) faces significant challenges due to limited battery life capacity of composing sensor nodes. It is substantial to construct efficient techniques to prolong the battery life of the connected sensors in order to derive their full potential in the future Internet of Things (IoT) paradigm. For that purpose, different energy harvesting (EH) schemes are relying on a wide array of sources. Following the same objective, in this work, we have observed a time-switching EH for half-duplex (HD) bidirectional WSN, which performed in-between relaying over Hoyt fading channels. For its comprehensive performance analysis, rapidly converging infinite-series expressions have been provided with focus on the outage probability (OP) and achievable throughput of the hardware-impaired system. Additionally, asymptotic behavior of these performance measures has also been provided. Further, an approach to the symbol-error probability (SEP) analysis is also presented in the context of the observed system. Finally, we consider the shadowing influence along the WSN propagation path. Performance analysis of observed EH system operating over Rician-shadowed fading channels has been carried out, with deriving exact corresponding infinite-series expressions for outage probability (OP) and achievable throughput of the system under the hardware impairment conditions. In addition, bidirectional relaying in a mixed fading environment has been considered.

Indexed as

half-duplexhardware impairmentHoyt fading channelsrelay networksRician-shadowed fading channelstime-switchingwireless energy harvesting

Identifiers

PMID33003319
PMCPMC7582657

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.