Monitoring square and circular fields with sensors using energy-efficient cluster-based routing for underwater wireless sensor networks
In this article, to monitor the fields with square and circular geometries, three energy-efficient routing protocols are proposed for underwater wireless sensor networks. First one is sparsity-aware energy-efficient clustering, second one is circular sparsity-aware energy-efficient clustering, and t...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717717189 |
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| _version_ | 1832553272773181440 |
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| author | Arshad Sher Nadeem Javaid Irfan Azam Hira Ahmad Wadood Abdul Sanaa Ghouzali Iftikhar Azim Niaz Fakhri Alam Khan |
| author_facet | Arshad Sher Nadeem Javaid Irfan Azam Hira Ahmad Wadood Abdul Sanaa Ghouzali Iftikhar Azim Niaz Fakhri Alam Khan |
| author_sort | Arshad Sher |
| collection | DOAJ |
| description | In this article, to monitor the fields with square and circular geometries, three energy-efficient routing protocols are proposed for underwater wireless sensor networks. First one is sparsity-aware energy-efficient clustering, second one is circular sparsity-aware energy-efficient clustering, and the third one is circular depth–based sparsity-aware energy-efficient clustering routing protocol. All three protocols are proposed to minimize the energy consumption of sparse regions, whereas sparsity search algorithm is proposed to find sparse regions and density search algorithm is used to find dense regions of the network field. Moreover, clustering is performed in dense regions to minimize redundant transmissions of a data packet, while sink mobility is exploited to collect data from sensor nodes with an objective of minimum energy consumption. A depth threshold ( d th ) value is also used to minimize number of hops between source and destination for less energy consumption. Simulation results show that our schemes perform better than their counter-part schemes (depth-based routing and energy-efficient depth-based routing) in terms of energy efficiency. |
| format | Article |
| id | doaj-art-83af5b5cfb6045cdac76ccc078080c2f |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-83af5b5cfb6045cdac76ccc078080c2f2025-02-03T05:54:32ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-07-011310.1177/1550147717717189Monitoring square and circular fields with sensors using energy-efficient cluster-based routing for underwater wireless sensor networksArshad Sher0Nadeem Javaid1Irfan Azam2Hira Ahmad3Wadood Abdul4Sanaa Ghouzali5Iftikhar Azim Niaz6Fakhri Alam Khan7COMSATS Institute of Information Technology, Islamabad, PakistanCOMSATS Institute of Information Technology, Islamabad, PakistanCOMSATS Institute of Information Technology, Islamabad, PakistanCOMSATS Institute of Information Technology, Islamabad, PakistanDepartment of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaCOMSATS Institute of Information Technology, Islamabad, PakistanInstitute of Management Sciences, Peshawar, PakistanIn this article, to monitor the fields with square and circular geometries, three energy-efficient routing protocols are proposed for underwater wireless sensor networks. First one is sparsity-aware energy-efficient clustering, second one is circular sparsity-aware energy-efficient clustering, and the third one is circular depth–based sparsity-aware energy-efficient clustering routing protocol. All three protocols are proposed to minimize the energy consumption of sparse regions, whereas sparsity search algorithm is proposed to find sparse regions and density search algorithm is used to find dense regions of the network field. Moreover, clustering is performed in dense regions to minimize redundant transmissions of a data packet, while sink mobility is exploited to collect data from sensor nodes with an objective of minimum energy consumption. A depth threshold ( d th ) value is also used to minimize number of hops between source and destination for less energy consumption. Simulation results show that our schemes perform better than their counter-part schemes (depth-based routing and energy-efficient depth-based routing) in terms of energy efficiency.https://doi.org/10.1177/1550147717717189 |
| spellingShingle | Arshad Sher Nadeem Javaid Irfan Azam Hira Ahmad Wadood Abdul Sanaa Ghouzali Iftikhar Azim Niaz Fakhri Alam Khan Monitoring square and circular fields with sensors using energy-efficient cluster-based routing for underwater wireless sensor networks International Journal of Distributed Sensor Networks |
| title | Monitoring square and circular fields with sensors using energy-efficient cluster-based routing for underwater wireless sensor networks |
| title_full | Monitoring square and circular fields with sensors using energy-efficient cluster-based routing for underwater wireless sensor networks |
| title_fullStr | Monitoring square and circular fields with sensors using energy-efficient cluster-based routing for underwater wireless sensor networks |
| title_full_unstemmed | Monitoring square and circular fields with sensors using energy-efficient cluster-based routing for underwater wireless sensor networks |
| title_short | Monitoring square and circular fields with sensors using energy-efficient cluster-based routing for underwater wireless sensor networks |
| title_sort | monitoring square and circular fields with sensors using energy efficient cluster based routing for underwater wireless sensor networks |
| url | https://doi.org/10.1177/1550147717717189 |
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