Constrained Cross Entropy Localization Technique for Wireless Sensor Networks
Challenges in wireless sensor networks (WSNs) localization are diverse. Addressing the challenges in cross entropy (CE) localization utilizing cross entropy optimization technique in turn minimizes the localization error with a reasonable processing cost and provides a balance between the algorithmi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2015-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/267369 |
| _version_ | 1797728750882783232 |
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| author | Mohammad Abdul Azim Zeyar Aung Weidong Xiao Vinod Khadkikar |
| author_facet | Mohammad Abdul Azim Zeyar Aung Weidong Xiao Vinod Khadkikar |
| author_sort | Mohammad Abdul Azim |
| collection | DOAJ |
| description | Challenges in wireless sensor networks (WSNs) localization are diverse. Addressing the challenges in cross entropy (CE) localization utilizing cross entropy optimization technique in turn minimizes the localization error with a reasonable processing cost and provides a balance between the algorithmic runtime and error. The drawback of such minimization commonly known as flip phenomenon introduces errors in the derived locations. Beyond CE, the whole class of localization techniques utilizing the same cost function suffers from the same phenomenon. This paper introduces constrained cross entropy (CCE), which enhances the localization accuracy by penalizing the identified sensor nodes affected by the aforementioned flip phenomenon in the neighborhood through neighbor sets. Simulation results comparing CCE with both simulated annealing- (SA-) based and original CE localization techniques demonstrate CCE's superiority in a consistent and reliable manner under various circumstances thereby justifing the proposed localization technique. |
| first_indexed | 2024-03-12T11:18:36Z |
| format | Article |
| id | doaj.art-36fac3d8a20144bab9d147c6da9c51bf |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T11:18:36Z |
| publishDate | 2015-05-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-36fac3d8a20144bab9d147c6da9c51bf2023-09-02T01:24:26ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-05-011110.1155/2015/267369267369Constrained Cross Entropy Localization Technique for Wireless Sensor NetworksMohammad Abdul Azim0Zeyar Aung1Weidong Xiao2Vinod Khadkikar3 Institute Center for Smart and Sustainable Systems (iSmart), Masdar Institute of Science and Technology, Masdar City, Zip Code 54224, Abu Dhabi, UAE Institute Center for Smart and Sustainable Systems (iSmart), Masdar Institute of Science and Technology, Masdar City, Zip Code 54224, Abu Dhabi, UAE Institute Center for Energy (iEnergy), Masdar Institute of Science and Technology, Masdar City, Zip Code 54224, Abu Dhabi, UAE Institute Center for Energy (iEnergy), Masdar Institute of Science and Technology, Masdar City, Zip Code 54224, Abu Dhabi, UAEChallenges in wireless sensor networks (WSNs) localization are diverse. Addressing the challenges in cross entropy (CE) localization utilizing cross entropy optimization technique in turn minimizes the localization error with a reasonable processing cost and provides a balance between the algorithmic runtime and error. The drawback of such minimization commonly known as flip phenomenon introduces errors in the derived locations. Beyond CE, the whole class of localization techniques utilizing the same cost function suffers from the same phenomenon. This paper introduces constrained cross entropy (CCE), which enhances the localization accuracy by penalizing the identified sensor nodes affected by the aforementioned flip phenomenon in the neighborhood through neighbor sets. Simulation results comparing CCE with both simulated annealing- (SA-) based and original CE localization techniques demonstrate CCE's superiority in a consistent and reliable manner under various circumstances thereby justifing the proposed localization technique.https://doi.org/10.1155/2015/267369 |
| spellingShingle | Mohammad Abdul Azim Zeyar Aung Weidong Xiao Vinod Khadkikar Constrained Cross Entropy Localization Technique for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | Constrained Cross Entropy Localization Technique for Wireless Sensor Networks |
| title_full | Constrained Cross Entropy Localization Technique for Wireless Sensor Networks |
| title_fullStr | Constrained Cross Entropy Localization Technique for Wireless Sensor Networks |
| title_full_unstemmed | Constrained Cross Entropy Localization Technique for Wireless Sensor Networks |
| title_short | Constrained Cross Entropy Localization Technique for Wireless Sensor Networks |
| title_sort | constrained cross entropy localization technique for wireless sensor networks |
| url | https://doi.org/10.1155/2015/267369 |
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