TrackInk: An IoT-Enabled Real-Time Object Tracking System in Space.

Cameron Aume, Keith Andrews, Shantanu Pal, Alice James, Avishkar Seth, Subhas Mukhopadhyay

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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

6 authors.

Cameron AumeFaculty of Science and Engineering, School of Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0003-1382-8408

Keith AndrewsFaculty of Science and Engineering, School of Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0001-5758-3962

Shantanu PalFaculty of Science, School of Computer Science, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0002-8784-0154

Alice JamesFaculty of Science and Engineering, School of Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-5997-8471

Avishkar SethFaculty of Science and Engineering, School of Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-0902-9753

Subhas MukhopadhyayFaculty of Science and Engineering, School of Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-8600-5907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, there is tremendous growth in the Internet of Things (IoT) applications in our everyday lives. The proliferation of smart devices, sensors technology, and the Internet makes it possible to communicate between the digital and physical world seamlessly for distributed data collection, communication, and processing of several applications dynamically. However, it is a challenging task to monitor and track objects in real-time due to the distinct characteristics of the IoT system, e.g., scalability, mobility, and resource-limited nature of the devices. In this paper, we address the significant issue of IoT object tracking in real time. We propose a system called '

Indexed as

access controlarchitectureInternet of Thingspolicy managementsecurity

Identifiers

PMID35062565

DOI10.3390/s22020608

PMCPMC8778555

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.