Accurate Range-Free Localization Using Cuckoo Search Optimization in IoT and Wireless Sensor Networks
Precise positioning of sensors is critical for the performance of various applications in the Internet of Things and wireless sensor networks. The efficiency of these networks heavily depends on the precision of sensor node locations. Among various localization approaches, DV-Hop is highly recommend...
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MDPI AG
2024-12-01
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| Online Access: | https://www.mdpi.com/2073-431X/13/12/319 |
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| author | Abdelali Hadir Naima Kaabouch |
| author_facet | Abdelali Hadir Naima Kaabouch |
| author_sort | Abdelali Hadir |
| collection | DOAJ |
| description | Precise positioning of sensors is critical for the performance of various applications in the Internet of Things and wireless sensor networks. The efficiency of these networks heavily depends on the precision of sensor node locations. Among various localization approaches, DV-Hop is highly recommended for its simplicity and robustness. However, despite its popularity, DV-Hop suffers from significant accuracy issues, primarily due to its reliance on average hop size for distance estimation. This limitation often results in substantial localization errors, compromising the overall network effectiveness. To address this gap, we developed an enhanced DV-Hop approach that integrates the cuckoo search algorithm (CS). Our solution improves the accuracy of node localization by introducing a normalized average hop size calculation and leveraging the optimization capabilities of CS. This hybrid approach refines the distance estimation process, significantly reducing the errors inherent in traditional DV-Hop. Findings from simulations reveal that the developed approach surpasses the accuracy of both the original DV-Hop and multiple other current localization methods, providing a more precise and reliable localization method for IoT and WSN applications. |
| format | Article |
| id | doaj-art-81a791fd24e54be6b3bce8587bb90e29 |
| institution | Kabale University |
| issn | 2073-431X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj-art-81a791fd24e54be6b3bce8587bb90e292024-12-27T14:19:01ZengMDPI AGComputers2073-431X2024-12-01131231910.3390/computers13120319Accurate Range-Free Localization Using Cuckoo Search Optimization in IoT and Wireless Sensor NetworksAbdelali Hadir0Naima Kaabouch1National School of Commerce and Management, Hassan II University, Casablanca 20250, MoroccoSchool of Electrical Engineering and Computer Science, University of North Dakota, Grand Forks, ND 58202, USAPrecise positioning of sensors is critical for the performance of various applications in the Internet of Things and wireless sensor networks. The efficiency of these networks heavily depends on the precision of sensor node locations. Among various localization approaches, DV-Hop is highly recommended for its simplicity and robustness. However, despite its popularity, DV-Hop suffers from significant accuracy issues, primarily due to its reliance on average hop size for distance estimation. This limitation often results in substantial localization errors, compromising the overall network effectiveness. To address this gap, we developed an enhanced DV-Hop approach that integrates the cuckoo search algorithm (CS). Our solution improves the accuracy of node localization by introducing a normalized average hop size calculation and leveraging the optimization capabilities of CS. This hybrid approach refines the distance estimation process, significantly reducing the errors inherent in traditional DV-Hop. Findings from simulations reveal that the developed approach surpasses the accuracy of both the original DV-Hop and multiple other current localization methods, providing a more precise and reliable localization method for IoT and WSN applications.https://www.mdpi.com/2073-431X/13/12/319IoTWSNlocalizationDV-Hopcuckoo searchaccuracy |
| spellingShingle | Abdelali Hadir Naima Kaabouch Accurate Range-Free Localization Using Cuckoo Search Optimization in IoT and Wireless Sensor Networks Computers IoT WSN localization DV-Hop cuckoo search accuracy |
| title | Accurate Range-Free Localization Using Cuckoo Search Optimization in IoT and Wireless Sensor Networks |
| title_full | Accurate Range-Free Localization Using Cuckoo Search Optimization in IoT and Wireless Sensor Networks |
| title_fullStr | Accurate Range-Free Localization Using Cuckoo Search Optimization in IoT and Wireless Sensor Networks |
| title_full_unstemmed | Accurate Range-Free Localization Using Cuckoo Search Optimization in IoT and Wireless Sensor Networks |
| title_short | Accurate Range-Free Localization Using Cuckoo Search Optimization in IoT and Wireless Sensor Networks |
| title_sort | accurate range free localization using cuckoo search optimization in iot and wireless sensor networks |
| topic | IoT WSN localization DV-Hop cuckoo search accuracy |
| url | https://www.mdpi.com/2073-431X/13/12/319 |
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