Energy-Efficient Clustering Algorithm for Magnetic Induction-Based Underwater Wireless Sensor Networks
Magnetic induction (MI) communication is a promising technology for next-generation low-power underwater wireless sensor networks (UWSNs). Clustering algorithm design becomes an important and challenging issue in today’s MI-based UWSNs. In contrast to the conventional approaches which suf...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8598829/ |
| _version_ | 1818557103072083968 |
|---|---|
| author | Sai Wang Thu L. N. Nguyen Yoan Shin |
| author_facet | Sai Wang Thu L. N. Nguyen Yoan Shin |
| author_sort | Sai Wang |
| collection | DOAJ |
| description | Magnetic induction (MI) communication is a promising technology for next-generation low-power underwater wireless sensor networks (UWSNs). Clustering algorithm design becomes an important and challenging issue in today’s MI-based UWSNs. In contrast to the conventional approaches which suffer from continuous movement of ocean current and traffic loads in different areas of the network, we consider a clustering algorithm based on the Voronoi diagram and node density distribution to improve the energy efficiency and to prolong the network lifetime. In particular, we propose a jellyfish breathing process for cluster head selection and an automatic adjustment algorithm for sensor nodes. The simulation results show that the proposed clustering algorithm achieves a high network capacity rate and a good equalization for the remaining energy. |
| first_indexed | 2024-12-13T23:55:37Z |
| format | Article |
| id | doaj.art-f03d99fc5efc424b8f763a1f060ef547 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T23:55:37Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f03d99fc5efc424b8f763a1f060ef5472022-12-21T23:26:34ZengIEEEIEEE Access2169-35362019-01-0175975598310.1109/ACCESS.2018.28899108598829Energy-Efficient Clustering Algorithm for Magnetic Induction-Based Underwater Wireless Sensor NetworksSai Wang0https://orcid.org/0000-0003-1650-3983Thu L. N. Nguyen1https://orcid.org/0000-0002-9456-8603Yoan Shin2School of Electronic Engineering, Soongsil University, Seoul, South KoreaSchool of Electronic Engineering, Soongsil University, Seoul, South KoreaSchool of Electronic Engineering, Soongsil University, Seoul, South KoreaMagnetic induction (MI) communication is a promising technology for next-generation low-power underwater wireless sensor networks (UWSNs). Clustering algorithm design becomes an important and challenging issue in today’s MI-based UWSNs. In contrast to the conventional approaches which suffer from continuous movement of ocean current and traffic loads in different areas of the network, we consider a clustering algorithm based on the Voronoi diagram and node density distribution to improve the energy efficiency and to prolong the network lifetime. In particular, we propose a jellyfish breathing process for cluster head selection and an automatic adjustment algorithm for sensor nodes. The simulation results show that the proposed clustering algorithm achieves a high network capacity rate and a good equalization for the remaining energy.https://ieeexplore.ieee.org/document/8598829/Underwater sensor networkmagnetic induction communicationclustering algorithmPoisson point distributionVoronoi diagramjellyfish breathing process |
| spellingShingle | Sai Wang Thu L. N. Nguyen Yoan Shin Energy-Efficient Clustering Algorithm for Magnetic Induction-Based Underwater Wireless Sensor Networks IEEE Access Underwater sensor network magnetic induction communication clustering algorithm Poisson point distribution Voronoi diagram jellyfish breathing process |
| title | Energy-Efficient Clustering Algorithm for Magnetic Induction-Based Underwater Wireless Sensor Networks |
| title_full | Energy-Efficient Clustering Algorithm for Magnetic Induction-Based Underwater Wireless Sensor Networks |
| title_fullStr | Energy-Efficient Clustering Algorithm for Magnetic Induction-Based Underwater Wireless Sensor Networks |
| title_full_unstemmed | Energy-Efficient Clustering Algorithm for Magnetic Induction-Based Underwater Wireless Sensor Networks |
| title_short | Energy-Efficient Clustering Algorithm for Magnetic Induction-Based Underwater Wireless Sensor Networks |
| title_sort | energy efficient clustering algorithm for magnetic induction based underwater wireless sensor networks |
| topic | Underwater sensor network magnetic induction communication clustering algorithm Poisson point distribution Voronoi diagram jellyfish breathing process |
| url | https://ieeexplore.ieee.org/document/8598829/ |
| work_keys_str_mv | AT saiwang energyefficientclusteringalgorithmformagneticinductionbasedunderwaterwirelesssensornetworks AT thulnnguyen energyefficientclusteringalgorithmformagneticinductionbasedunderwaterwirelesssensornetworks AT yoanshin energyefficientclusteringalgorithmformagneticinductionbasedunderwaterwirelesssensornetworks |