Replication of Smart-City, Internet of Things Assets in a Municipal Deployment.
Clicks: 421
ID: 63312
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
81.1
/100
421 views
277 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #2 of 19 articles by views in ieee internet of things journal
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Recent efforts to integrate Internet Of Things (IoT) technologies into Smart City constructs have proven successful through proof-of-concept deployments in multiple cities. To facilitate additional deployments, standardization and dissemination of best practices for these technologies is critical. To that effort, this work seeks to establish a framework in a set of IoT hardware, software, and wireless radio components that are flexible to address several use cases and easily replicable to new deployments. Moreover, the framework aims to be standards-based and to use best practices for cybersecurity to maintain security and privacy. The framework is developed, deployed, and tested through three sub-projects in different domains and a live testbed housed by a municipal government, collecting over 160 million distinct sensor records from eight physical locations over a period of 8 months. Additionally, the framework is replicated to a separate jurisdiction to prove ease of replicability. This work identifies common barriers to IoT adoption and replication, both technological and organizational, and enumerates the approaches that were taken to overcome those barriers in these projects.
| Reference Key |
nelson2019replicationieee
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Nelson, Alexander;Toth, Greg;Linders, Dennis;Nguyen, Cuong;Rhee, Sokwoo; |
| Journal | ieee internet of things journal |
| Year | 2019 |
| DOI |
10.1109/JIOT.2019.2911010
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.