Resilient Localization and Coverage in the Internet of Things
The proliferation of the Internet of Things (IoT) has revolutionized traditional services, giving rise to emerging smart infrastructures by connecting the physical and digital worlds. Sensory data is essential in IoT-based systems for providing context-aware and location-based services. Hence, the a...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/14/3172 |
| _version_ | 1797589497210208256 |
|---|---|
| author | Yaser Al Mtawa Hossam S. Hassanein Nidal Nasser |
| author_facet | Yaser Al Mtawa Hossam S. Hassanein Nidal Nasser |
| author_sort | Yaser Al Mtawa |
| collection | DOAJ |
| description | The proliferation of the Internet of Things (IoT) has revolutionized traditional services, giving rise to emerging smart infrastructures by connecting the physical and digital worlds. Sensory data is essential in IoT-based systems for providing context-aware and location-based services. Hence, the accurate localization of IoT devices is paramount. Anchor misplacement can significantly affect location information and coverage services in IoT. We study the effect of anchor misplacement in typical IoT settings where sensors are randomly deployed, can be mobile, and may belong to multiple providers. We identify sensing coverage holes formed by anchor misplacement and analyze their presence and impact. To mitigate the impact of anchor misplacement on network reliability, we propose a framework to identify the affected sensor nodes and then identify and remove misplaced anchor nodes. The validity of our approach is verified, and its effectiveness is demonstrated by several experiments with different network topologies and parameters. Our results are promising and can be utilized in multiple coverage applications, such as smart agriculture systems and habitat monitoring, regardless of the sensors or deployment types. It also sheds light on best practices and methods for a reliable design of IoT-based systems. |
| first_indexed | 2024-03-11T01:07:23Z |
| format | Article |
| id | doaj.art-1615fe5fe89e4fd3ae968fafe3f371d4 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T01:07:23Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-1615fe5fe89e4fd3ae968fafe3f371d42023-11-18T19:06:56ZengMDPI AGElectronics2079-92922023-07-011214317210.3390/electronics12143172Resilient Localization and Coverage in the Internet of ThingsYaser Al Mtawa0Hossam S. Hassanein1Nidal Nasser2Applied Computer Science, The University of Winnipeg, Winnipeg, MB R3B 2E9, CanadaSchool of Computing, Queen’s University, Kingston, ON K7L 3N6, CanadaCollege of Engineering, Alfaisal University, Riyadh 11533, Saudi ArabiaThe proliferation of the Internet of Things (IoT) has revolutionized traditional services, giving rise to emerging smart infrastructures by connecting the physical and digital worlds. Sensory data is essential in IoT-based systems for providing context-aware and location-based services. Hence, the accurate localization of IoT devices is paramount. Anchor misplacement can significantly affect location information and coverage services in IoT. We study the effect of anchor misplacement in typical IoT settings where sensors are randomly deployed, can be mobile, and may belong to multiple providers. We identify sensing coverage holes formed by anchor misplacement and analyze their presence and impact. To mitigate the impact of anchor misplacement on network reliability, we propose a framework to identify the affected sensor nodes and then identify and remove misplaced anchor nodes. The validity of our approach is verified, and its effectiveness is demonstrated by several experiments with different network topologies and parameters. Our results are promising and can be utilized in multiple coverage applications, such as smart agriculture systems and habitat monitoring, regardless of the sensors or deployment types. It also sheds light on best practices and methods for a reliable design of IoT-based systems.https://www.mdpi.com/2079-9292/12/14/3172wireless sensor networkInternet of Things (IoT)IoT deploymentlocalizationsensing coveragereliable services |
| spellingShingle | Yaser Al Mtawa Hossam S. Hassanein Nidal Nasser Resilient Localization and Coverage in the Internet of Things Electronics wireless sensor network Internet of Things (IoT) IoT deployment localization sensing coverage reliable services |
| title | Resilient Localization and Coverage in the Internet of Things |
| title_full | Resilient Localization and Coverage in the Internet of Things |
| title_fullStr | Resilient Localization and Coverage in the Internet of Things |
| title_full_unstemmed | Resilient Localization and Coverage in the Internet of Things |
| title_short | Resilient Localization and Coverage in the Internet of Things |
| title_sort | resilient localization and coverage in the internet of things |
| topic | wireless sensor network Internet of Things (IoT) IoT deployment localization sensing coverage reliable services |
| url | https://www.mdpi.com/2079-9292/12/14/3172 |
| work_keys_str_mv | AT yaseralmtawa resilientlocalizationandcoverageintheinternetofthings AT hossamshassanein resilientlocalizationandcoverageintheinternetofthings AT nidalnasser resilientlocalizationandcoverageintheinternetofthings |