An adaptive clustering approach to dynamic load balancing and energy consumption of nodes in WSN
Clustering is a well-known approach to cope with large nodes density and efficiently conserving Clustering is a famous method to manage through huge nodes thickness and professionally preserving energy in Wireless Sensor Networks (WSN). A wireless device expedient is a dense battery-activated expedi...
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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/82947/ http://psasir.upm.edu.my/id/eprint/82947/1/FSKTM%202019%2026%20IR.pdf |
| _version_ | 1848859400364621824 |
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| author | Ako, Ahmed Swara Abbas |
| author_facet | Ako, Ahmed Swara Abbas |
| author_sort | Ako, Ahmed Swara Abbas |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Clustering is a well-known approach to cope with large nodes density and efficiently conserving Clustering is a famous method to manage through huge nodes thickness and professionally preserving energy in Wireless Sensor Networks (WSN). A wireless device expedient is a dense battery-activated expedient, accomplished of detecting corporal dimensions of its environs, and distribution available the connected information to a base station. (WSN) contains of a big amount of device nodes occupied cooperatively to attain work. To establish and maintain the battery powered networks, they are incomplete in relations of dispensation, storage, and communication competences. Contests arise in the application, there are so numerous manageable and irrepressible limitations by which the operation of WSN can be extremely pretentious such as energy preservation. The appreciated small extent of a device node executes a minor battery by an incomplete obtainable energy inexpensive. Once the wireless sensor network swapped the single function devices, it increased a benefit in the protracted variety of detecting, responsibility broad-mindedness, better-quality exactness and inferior cost than its precursors. In addition, we reflect the tricky of preserving energy through rotating off the node's radio for ages of a immovable time distance in order to project slumber regulator rules that diminish the predictable worth of a price purpose on behalf of both energies ingesting price and holding prices for backlogged packages. Herein study, we suggest an Energy Effective Adaptive Clustering Protocol with information assembly by means of intra-inter bunch multi-hop message. The intended area is to attain improved cluster extent equilibrium contribution a network topology dispelling least energy. We will use the proposed (HEBM) method to spread the next purposes: plummeting the general network energy consumption (Dispersal the network lifetime period) over balancing the energy consumption between devices nodes and emerging a well-organized hierarchical clustering system in WSN. |
| first_indexed | 2025-11-15T12:28:44Z |
| format | Thesis |
| id | upm-82947 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:28:44Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-829472020-07-23T04:00:57Z http://psasir.upm.edu.my/id/eprint/82947/ An adaptive clustering approach to dynamic load balancing and energy consumption of nodes in WSN Ako, Ahmed Swara Abbas Clustering is a well-known approach to cope with large nodes density and efficiently conserving Clustering is a famous method to manage through huge nodes thickness and professionally preserving energy in Wireless Sensor Networks (WSN). A wireless device expedient is a dense battery-activated expedient, accomplished of detecting corporal dimensions of its environs, and distribution available the connected information to a base station. (WSN) contains of a big amount of device nodes occupied cooperatively to attain work. To establish and maintain the battery powered networks, they are incomplete in relations of dispensation, storage, and communication competences. Contests arise in the application, there are so numerous manageable and irrepressible limitations by which the operation of WSN can be extremely pretentious such as energy preservation. The appreciated small extent of a device node executes a minor battery by an incomplete obtainable energy inexpensive. Once the wireless sensor network swapped the single function devices, it increased a benefit in the protracted variety of detecting, responsibility broad-mindedness, better-quality exactness and inferior cost than its precursors. In addition, we reflect the tricky of preserving energy through rotating off the node's radio for ages of a immovable time distance in order to project slumber regulator rules that diminish the predictable worth of a price purpose on behalf of both energies ingesting price and holding prices for backlogged packages. Herein study, we suggest an Energy Effective Adaptive Clustering Protocol with information assembly by means of intra-inter bunch multi-hop message. The intended area is to attain improved cluster extent equilibrium contribution a network topology dispelling least energy. We will use the proposed (HEBM) method to spread the next purposes: plummeting the general network energy consumption (Dispersal the network lifetime period) over balancing the energy consumption between devices nodes and emerging a well-organized hierarchical clustering system in WSN. 2019-01 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/82947/1/FSKTM%202019%2026%20IR.pdf Ako, Ahmed Swara Abbas (2019) An adaptive clustering approach to dynamic load balancing and energy consumption of nodes in WSN. Masters thesis, Universiti Putra Malaysia. Document clustering Wireless sensor networks |
| spellingShingle | Document clustering Wireless sensor networks Ako, Ahmed Swara Abbas An adaptive clustering approach to dynamic load balancing and energy consumption of nodes in WSN |
| title | An adaptive clustering approach to dynamic load balancing and energy consumption of nodes in WSN |
| title_full | An adaptive clustering approach to dynamic load balancing and energy consumption of nodes in WSN |
| title_fullStr | An adaptive clustering approach to dynamic load balancing and energy consumption of nodes in WSN |
| title_full_unstemmed | An adaptive clustering approach to dynamic load balancing and energy consumption of nodes in WSN |
| title_short | An adaptive clustering approach to dynamic load balancing and energy consumption of nodes in WSN |
| title_sort | adaptive clustering approach to dynamic load balancing and energy consumption of nodes in wsn |
| topic | Document clustering Wireless sensor networks |
| url | http://psasir.upm.edu.my/id/eprint/82947/ http://psasir.upm.edu.my/id/eprint/82947/1/FSKTM%202019%2026%20IR.pdf |