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Published in 2017 at "Telecommunication Systems"
DOI: 10.1007/s11235-017-0294-3
Abstract: In big data wireless sensor networks, the volume of data sharply increases at an unprecedented rate and the dense deployment of sensor nodes will lead to high spatial-temporal correlation and redundancy of sensors’ readings. Compressive…
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Keywords:
big data;
aggregation;
deterministic binary;
data aggregation ... See more keywords
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Published in 2019 at "Wireless Networks"
DOI: 10.1007/s11276-017-1584-0
Abstract: The latest research progress of the theory of compressive sensing (CS) over graphs makes it possible that the advantage of CS can be utilized by data ferries to gather data for wireless sensor networks. In…
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Keywords:
wireless sensor;
data gathering;
data ferries;
compressive data ... See more keywords
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Published in 2021 at "Sensor Review"
DOI: 10.1108/sr-09-2020-0221
Abstract: As the limited energy of wireless sensor networks (WSNs), energy-efficient data-gathering algorithms are required. This paper proposes a compressive data-gathering algorithm based on double sparse structure dictionary learning (DSSDL). The purpose of this paper is…
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Keywords:
data gathering;
sparse structure;
compressive data;
sparse representation ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2867538
Abstract: This paper studies the compressive data gathering problem in terms of Bayesian theory for wireless sensor networks (WSNs) with a mobile sink. In such WSNs, designing an optimal tour path for sink is a challenge…
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Keywords:
mobile sink;
data gathering;
sensor networks;
wireless sensor ... See more keywords