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Deployment of internet of things-based cloudlet-cloud for surveillance operations


 
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1. Title Title of document Deployment of internet of things-based cloudlet-cloud for surveillance operations
 
2. Creator Author's name, affiliation, country Edje E. Abel; Delta State University; Nigeria
 
2. Creator Author's name, affiliation, country Abd Latiff Muhammad Shafie; Universiti Teknologi Malaysia; Malaysia
 
2. Creator Author's name, affiliation, country Weng Howe Chan; Universiti Teknologi Malaysia; Malaysia
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Cloud computing; Cloudlets; Communication protocols; Internet of things; Nation’s borders
 
4. Description Abstract This research proposes the design of internet of things (IoT) camera/toxic gas sensors for the surveillance of a nation’s borders. Also, a wearable radio frequency identification (RFID) tag with built-in body-temperature/heartbeat sensors, for monitoring the health status and locations of military personnel while on border patrol duty or in battlefield combats. Mobile micro-controllers are deployed to gather sensed data retrieved from the sensors/RFID tags and transmitted to a cloudlet situated at the command control center, located 200 meters away from the sensor devices. Consequently, sensed data are dispatch to the cloud data center when there is a need for offline data mining or analysis. The distinguishing feature of our proposed system from previous researches is that the health status and locations of troops (soldiers) are monitored while they are in border patrol duty or in battlefield combats. Also, the introduction of cloudlet services closer to the IoT sensor devices for collection of sensed data. This way, the sensed data or information gathered at the cloudlet will aid timely information retrieval that will speed up intelligence gathering for strategic military operations, especially in critical situations. This is an innovative attempt to apply IoT-enabled cloudlet-based cloud computing to support military operations.
 
5. Publisher Organizing agency, location Institute of Advanced Engineering and Science
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2021-03-01
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://ijai.iaescore.com/index.php/IJAI/article/view/20661
 
10. Identifier Digital Object Identifier (DOI) http://doi.org/10.11591/ijai.v10.i1.pp24-34
 
11. Source Title; vol., no. (year) IAES International Journal of Artificial Intelligence (IJ-AI); Vol 10, No 1: March 2021
 
12. Language English=en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2020 Institute of Advanced Engineering and Science
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