Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach
Preserving energy or battery power of wireless sensor network is of major concern. As such type of network, the sensors are deployed in an ad hoc manner, without any deterministic way. This paper is concerned with applying standard routing protocols into wireless sensor network by using topology mod...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2010-12-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2010/216716 |
| _version_ | 1826998650655473664 |
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| author | Chiranjib Patra Anjan Guha Roy Samiran Chattopadhyay Parama Bhaumik |
| author_facet | Chiranjib Patra Anjan Guha Roy Samiran Chattopadhyay Parama Bhaumik |
| author_sort | Chiranjib Patra |
| collection | DOAJ |
| description | Preserving energy or battery power of wireless sensor network is of major concern. As such type of network, the sensors are deployed in an ad hoc manner, without any deterministic way. This paper is concerned with applying standard routing protocols into wireless sensor network by using topology modified by neural network which proves to be energy efficient as compared with unmodified topology. Neural network has been proved to be a powerful tool in the distributed environment. Here, to capture the true distributed nature of the Wireless Sensor Network (WSN), neural network's Self-Organizing Feature Map (SOFM) is used. |
| first_indexed | 2024-03-12T09:38:13Z |
| format | Article |
| id | doaj.art-7fa771fc6ad64f2fa2a9e3e38eaa1129 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2025-02-18T10:18:38Z |
| publishDate | 2010-12-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-7fa771fc6ad64f2fa2a9e3e38eaa11292024-11-02T05:31:50ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772010-12-01610.1155/2010/216716Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural ApproachChiranjib Patra0Anjan Guha Roy1Samiran Chattopadhyay2Parama Bhaumik3 Calcutta Institute of Engineering and Management, 24/1A Chandi Ghosh Road, Tollygunge, Kolkata 700040, India Department of Information Technology, Jadavpur University, Kolkata 700032, India Department of Information Technology, Jadavpur University, Kolkata 700032, India Department of Information Technology, Jadavpur University, Kolkata 700032, IndiaPreserving energy or battery power of wireless sensor network is of major concern. As such type of network, the sensors are deployed in an ad hoc manner, without any deterministic way. This paper is concerned with applying standard routing protocols into wireless sensor network by using topology modified by neural network which proves to be energy efficient as compared with unmodified topology. Neural network has been proved to be a powerful tool in the distributed environment. Here, to capture the true distributed nature of the Wireless Sensor Network (WSN), neural network's Self-Organizing Feature Map (SOFM) is used.https://doi.org/10.1155/2010/216716 |
| spellingShingle | Chiranjib Patra Anjan Guha Roy Samiran Chattopadhyay Parama Bhaumik Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach International Journal of Distributed Sensor Networks |
| title | Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach |
| title_full | Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach |
| title_fullStr | Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach |
| title_full_unstemmed | Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach |
| title_short | Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach |
| title_sort | designing energy efficient topologies for wireless sensor network neural approach |
| url | https://doi.org/10.1155/2010/216716 |
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