Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living.

5G/6G networks Artificial Intelligence Internet of Things Machine Learning distributed computing satellite communications space

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
04 Dec 2021
Historique:
received: 26 10 2021
revised: 25 11 2021
accepted: 29 11 2021
entrez: 10 12 2021
pubmed: 11 12 2021
medline: 15 12 2021
Statut: epublish

Résumé

Recent scientific and technological advancements driven by the Internet of Things (IoT), Machine Learning (ML) and Artificial Intelligence (AI), distributed computing and data communication technologies have opened up a vast range of opportunities in many scientific fields-spanning from fast, reliable and efficient data communication to large-scale cloud/edge computing and intelligent big data analytics. Technological innovations and developments in these areas have also enabled many opportunities in the space industry. The successful Mars landing of NASA's Perseverance rover on 18 February 2021 represents another giant leap for humankind in space exploration. Emerging research and developments of connectivity and computing technologies in IoT for space/non-terrestrial environments is expected to yield significant benefits in the near future. This survey paper presents a broad overview of the area and provides a look-ahead of the opportunities made possible by IoT and space-based technologies. We first survey the current developments of IoT and space industry, and identify key challenges and opportunities in these areas. We then review the state-of-the-art and discuss future opportunities for IoT developments, deployment and integration to support future endeavors in space exploration.

Identifiants

pubmed: 34884122
pii: s21238117
doi: 10.3390/s21238117
pmc: PMC8662413
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Références

Sci Rep. 2020 Jun 16;10(1):9700
pubmed: 32546782
Sensors (Basel). 2019 Aug 26;19(17):
pubmed: 31454994
Sci Robot. 2017 Jun 28;2(7):
pubmed: 33157901
Cell Mol Immunol. 2021 Jun;18(6):1489-1502
pubmed: 31900461
Glob Chall. 2018 Oct 25;3(1):1800062
pubmed: 31565356
Sensors (Basel). 2019 Oct 10;19(20):
pubmed: 31658684

Auteurs

Jonathan Kua (J)

School of Information Technology, Deakin University, Geelong, VIC 3220, Australia.

Seng W Loke (SW)

School of Information Technology, Deakin University, Geelong, VIC 3220, Australia.

Chetan Arora (C)

School of Information Technology, Deakin University, Geelong, VIC 3220, Australia.

Niroshinie Fernando (N)

School of Information Technology, Deakin University, Geelong, VIC 3220, Australia.

Chathurika Ranaweera (C)

School of Information Technology, Deakin University, Geelong, VIC 3220, Australia.

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Classifications MeSH