A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks
In crucial applications, sensor node coverage of the objective zone must be stabilized in Wireless Sensor Networks (WSN). A network with holes in coverage is more susceptible to node failures or malicious attacks. According to the total number of hops used to transport data, nodes may calculate thei...
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MDPI AG
2023-12-01
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| author | Anitha Christy Angelin Salaja Silas |
| author_facet | Anitha Christy Angelin Salaja Silas |
| author_sort | Anitha Christy Angelin |
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| description | In crucial applications, sensor node coverage of the objective zone must be stabilized in Wireless Sensor Networks (WSN). A network with holes in coverage is more susceptible to node failures or malicious attacks. According to the total number of hops used to transport data, nodes may calculate their distance from the sink node. A coverage hole may be present if a node notices a much higher hop count than its neighbors. The network becomes more robust and resilient to diverse problems by proactively recognizing and correcting coverage holes. Coverage hole identification aids in the efficient use of network resources. By identifying places with poor coverage, resources such as electricity and bandwidth may be efficiently deployed to increase coverage in specific areas or extend the network lifetime overall. However, some node sensors die while the network operates due to energy restrictions, which may disturb the inclusion of the objective zone, resulting in a coverage hole. Due to limited battery life, the existence of impediments and physical damage to sensor nodes, coverage holes may emerge in sensor networks. Early identification of coverage holes enables prompt maintenance and troubleshooting, which minimizes the need for future major and expensive replacements or reconfigurations. The loss on the region of interest may be calculated by locating the coverage holes and identifying the malfunctioning node that created it. This article discusses many coverage-hole-detecting methods, classification approaches, and different performance comparison assessments. Compared to conventional techniques for detecting coverage holes, the investigated methods contribute to the universal viewpoint on holes and compute the number of holes quite precisely. |
| format | Article |
| id | doaj-art-130b38ff4a854d1dab57382a67decaab |
| institution | Kabale University |
| issn | 2673-4591 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-130b38ff4a854d1dab57382a67decaab2025-08-20T03:43:02ZengMDPI AGEngineering Proceedings2673-45912023-12-01591510.3390/engproc2023059005A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor NetworksAnitha Christy Angelin0Salaja Silas1Division of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore 641114, IndiaDivision of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore 641114, IndiaIn crucial applications, sensor node coverage of the objective zone must be stabilized in Wireless Sensor Networks (WSN). A network with holes in coverage is more susceptible to node failures or malicious attacks. According to the total number of hops used to transport data, nodes may calculate their distance from the sink node. A coverage hole may be present if a node notices a much higher hop count than its neighbors. The network becomes more robust and resilient to diverse problems by proactively recognizing and correcting coverage holes. Coverage hole identification aids in the efficient use of network resources. By identifying places with poor coverage, resources such as electricity and bandwidth may be efficiently deployed to increase coverage in specific areas or extend the network lifetime overall. However, some node sensors die while the network operates due to energy restrictions, which may disturb the inclusion of the objective zone, resulting in a coverage hole. Due to limited battery life, the existence of impediments and physical damage to sensor nodes, coverage holes may emerge in sensor networks. Early identification of coverage holes enables prompt maintenance and troubleshooting, which minimizes the need for future major and expensive replacements or reconfigurations. The loss on the region of interest may be calculated by locating the coverage holes and identifying the malfunctioning node that created it. This article discusses many coverage-hole-detecting methods, classification approaches, and different performance comparison assessments. Compared to conventional techniques for detecting coverage holes, the investigated methods contribute to the universal viewpoint on holes and compute the number of holes quite precisely.https://www.mdpi.com/2673-4591/59/1/5coverage hole detectionWireless Sensor Networksnode failure mitigationenergy-aware wireless sensor networkscoverage hole analysis |
| spellingShingle | Anitha Christy Angelin Salaja Silas A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks Engineering Proceedings coverage hole detection Wireless Sensor Networks node failure mitigation energy-aware wireless sensor networks coverage hole analysis |
| title | A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks |
| title_full | A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks |
| title_fullStr | A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks |
| title_full_unstemmed | A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks |
| title_short | A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks |
| title_sort | comparative study of coverage hole detection techniques in wireless sensor networks |
| topic | coverage hole detection Wireless Sensor Networks node failure mitigation energy-aware wireless sensor networks coverage hole analysis |
| url | https://www.mdpi.com/2673-4591/59/1/5 |
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