Reliable IoT Firmware Updates: A Large-scale Mesh Network Performance Investigation Article Swipe
Ioannis Mavromatis
,
Aleksandar Stanoev
,
Anthony Portelli
,
Charles Lockie
,
Marius Ammann
,
Yichao Jin
,
Mahesh Sooriyabandara
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2203.04682
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2203.04682
Internet of Things (IoT) networks require regular firmware updates to ensure enhanced security and stability. As we move towards methodologies of codifying security and policy decisions and exchanging them over IoT large-scale deployments (security-as-a-code), these demands should be considered a routine operation. However, rolling out firmware updates to large-scale networks presents a crucial challenge for constrained wireless environments with large numbers of IoT devices. This paper initially investigates how the current state-of-the-art protocols operate in such adverse conditions by measuring various Quality-of-Service (QoS) Key Performance Indicators (KPIs) of the shared wireless medium. We later discuss how Concurrent Transmissions (CT) can extend the scalability of IoT protocols and ensure reliable firmware roll-outs over large geographical areas. Measuring KPIs such as the mesh join time, the throughput, and the number of nodes forming a network, we provide great insight into how an IoT environment will behave under a large-scale firmware roll-out. Finally, we conducted our performance investigation over the UMBRELLA platform, a real-world IoT testbed deployed in Bristol, UK. This ensures our findings represent a realistic IoT scenario and meet the strict QoS requirements of today's IoT applications.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2203.04682
- https://arxiv.org/pdf/2203.04682
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4221160557
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4221160557Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2203.04682Digital Object Identifier
- Title
-
Reliable IoT Firmware Updates: A Large-scale Mesh Network Performance InvestigationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-09Full publication date if available
- Authors
-
Ioannis Mavromatis, Aleksandar Stanoev, Anthony Portelli, Charles Lockie, Marius Ammann, Yichao Jin, Mahesh SooriyabandaraList of authors in order
- Landing page
-
https://arxiv.org/abs/2203.04682Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2203.04682Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2203.04682Direct OA link when available
- Concepts
-
Firmware, Computer science, Scalability, Testbed, Computer network, Quality of service, Throughput, Key (lock), Wireless mesh network, Wireless network, Distributed computing, Wireless, Computer security, Telecommunications, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Internet | 0 |
| abstract_inverted_index.UMBRELLA | 157 |
| abstract_inverted_index.deployed | 163 |
| abstract_inverted_index.devices. | 63 |
| abstract_inverted_index.enhanced | 11 |
| abstract_inverted_index.findings | 170 |
| abstract_inverted_index.firmware | 7, 45, 109, 147 |
| abstract_inverted_index.network, | 132 |
| abstract_inverted_index.networks | 4, 49 |
| abstract_inverted_index.presents | 50 |
| abstract_inverted_index.reliable | 108 |
| abstract_inverted_index.scenario | 175 |
| abstract_inverted_index.security | 12, 22 |
| abstract_inverted_index.wireless | 56, 90 |
| abstract_inverted_index.Measuring | 115 |
| abstract_inverted_index.challenge | 53 |
| abstract_inverted_index.codifying | 21 |
| abstract_inverted_index.conducted | 151 |
| abstract_inverted_index.decisions | 25 |
| abstract_inverted_index.initially | 66 |
| abstract_inverted_index.measuring | 79 |
| abstract_inverted_index.platform, | 158 |
| abstract_inverted_index.protocols | 72, 105 |
| abstract_inverted_index.realistic | 173 |
| abstract_inverted_index.represent | 171 |
| abstract_inverted_index.roll-out. | 148 |
| abstract_inverted_index.roll-outs | 110 |
| abstract_inverted_index.Concurrent | 96 |
| abstract_inverted_index.Indicators | 85 |
| abstract_inverted_index.conditions | 77 |
| abstract_inverted_index.considered | 38 |
| abstract_inverted_index.exchanging | 27 |
| abstract_inverted_index.operation. | 41 |
| abstract_inverted_index.real-world | 160 |
| abstract_inverted_index.stability. | 14 |
| abstract_inverted_index.Performance | 84 |
| abstract_inverted_index.constrained | 55 |
| abstract_inverted_index.deployments | 32 |
| abstract_inverted_index.environment | 141 |
| abstract_inverted_index.large-scale | 31, 48, 146 |
| abstract_inverted_index.performance | 153 |
| abstract_inverted_index.scalability | 102 |
| abstract_inverted_index.throughput, | 124 |
| abstract_inverted_index.environments | 57 |
| abstract_inverted_index.geographical | 113 |
| abstract_inverted_index.investigates | 67 |
| abstract_inverted_index.requirements | 181 |
| abstract_inverted_index.Transmissions | 97 |
| abstract_inverted_index.applications. | 185 |
| abstract_inverted_index.investigation | 154 |
| abstract_inverted_index.methodologies | 19 |
| abstract_inverted_index.state-of-the-art | 71 |
| abstract_inverted_index.Quality-of-Service | 81 |
| abstract_inverted_index.(security-as-a-code), | 33 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.03357872 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |