Bio-inspired, Cluster-based Deterministic Node Deployment in Wireless Sensor Networks
The low-cost Wireless Sensor Network (WSN) consists of small battery powered devices called sensors, with limited energy capacity. Once deployed, accessibility to any sensor node for maintenance and battery replacement is not feasible due to the spatial scattering of the nodes. This will lead to...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2016-04-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | http://ijtech.eng.ui.ac.id/article/view/1682 |
| _version_ | 1797967929578356736 |
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| author | Vergin Raja Sarobin M. R. Ganesan |
| author_facet | Vergin Raja Sarobin M. R. Ganesan |
| author_sort | Vergin Raja Sarobin M. |
| collection | DOAJ |
| description | The low-cost Wireless
Sensor Network
(WSN) consists of small battery powered devices called sensors, with limited
energy capacity. Once deployed, accessibility to any sensor node for maintenance and battery replacement is not feasible
due to the spatial scattering of the nodes. This will lead to an unreliable,
limited lifetime and a poor connectivity network. In this paper a novel bio-inspired cluster-based
deployment algorithm is proposed for energy optimization of the WSN
and ultimately to improve the network lifetime. In the cluster initialization
phase, a single
cluster is formed with a single cluster head at the center of the sensing terrain. The
second phase is for optimum cluster formation surrounding
the inner cluster, based on swarming bees and a piping technique. Each cluster member distributes
its data to its corresponding cluster head and the cluster head communicates
with the base station, which reduces the communication distance of each node. The simulation
results show that, when
compared with other clustering algorithms, the proposed algorithm can significantly reduce
the number of clusters by 38% and improve the network lifetime by a factor of
1/4. |
| first_indexed | 2024-04-11T02:39:00Z |
| format | Article |
| id | doaj.art-77a9d75630394829a7a5943ac3af593e |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-04-11T02:39:00Z |
| publishDate | 2016-04-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-77a9d75630394829a7a5943ac3af593e2023-01-02T19:31:57ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002016-04-017467368210.14716/ijtech.v7i4.16821682Bio-inspired, Cluster-based Deterministic Node Deployment in Wireless Sensor NetworksVergin Raja Sarobin M.0R. Ganesan1School of Computing Science and Engineering, VIT University, Chennai Campus, Chennai 600127, IndiaSchool of Computing Science and Engineering, VIT University, Chennai Campus, Chennai 600127, IndiaThe low-cost Wireless Sensor Network (WSN) consists of small battery powered devices called sensors, with limited energy capacity. Once deployed, accessibility to any sensor node for maintenance and battery replacement is not feasible due to the spatial scattering of the nodes. This will lead to an unreliable, limited lifetime and a poor connectivity network. In this paper a novel bio-inspired cluster-based deployment algorithm is proposed for energy optimization of the WSN and ultimately to improve the network lifetime. In the cluster initialization phase, a single cluster is formed with a single cluster head at the center of the sensing terrain. The second phase is for optimum cluster formation surrounding the inner cluster, based on swarming bees and a piping technique. Each cluster member distributes its data to its corresponding cluster head and the cluster head communicates with the base station, which reduces the communication distance of each node. The simulation results show that, when compared with other clustering algorithms, the proposed algorithm can significantly reduce the number of clusters by 38% and improve the network lifetime by a factor of 1/4.http://ijtech.eng.ui.ac.id/article/view/1682Bio-inspired system, Centralized and decentralized clustering, Energy efficiency, Piping, Swarming |
| spellingShingle | Vergin Raja Sarobin M. R. Ganesan Bio-inspired, Cluster-based Deterministic Node Deployment in Wireless Sensor Networks International Journal of Technology Bio-inspired system, Centralized and decentralized clustering, Energy efficiency, Piping, Swarming |
| title | Bio-inspired, Cluster-based Deterministic Node Deployment in Wireless Sensor Networks |
| title_full | Bio-inspired, Cluster-based Deterministic Node Deployment in Wireless Sensor Networks |
| title_fullStr | Bio-inspired, Cluster-based Deterministic Node Deployment in Wireless Sensor Networks |
| title_full_unstemmed | Bio-inspired, Cluster-based Deterministic Node Deployment in Wireless Sensor Networks |
| title_short | Bio-inspired, Cluster-based Deterministic Node Deployment in Wireless Sensor Networks |
| title_sort | bio inspired cluster based deterministic node deployment in wireless sensor networks |
| topic | Bio-inspired system, Centralized and decentralized clustering, Energy efficiency, Piping, Swarming |
| url | http://ijtech.eng.ui.ac.id/article/view/1682 |
| work_keys_str_mv | AT verginrajasarobinm bioinspiredclusterbaseddeterministicnodedeploymentinwirelesssensornetworks AT rganesan bioinspiredclusterbaseddeterministicnodedeploymentinwirelesssensornetworks |