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Judul Bio-inspired, cluster-based deterministic node deployment in wireless sensor networks / Vergin Raja Sarobin M, R. Ganesan
Nomor Panggil PDF
Pengarang
Pengarang/kontributor lain
Subjek
Penerbitan 2016
Kata Kunci Bio-inspired system · Centralized and decentralized clustering · Energy efficiency · Piping · Swarming ·
 Info Lainnya
ISSN20872100
Deskripsi Fisiknone
Catatan Umumnone
VolumeVol 7, No 4 (2016) 673-682
Akses Elektronik http://www.ijtech.eng.ui.ac.id/index.php/journal/article/view/1886
Institusi Pemilik Universitas Indonesia
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Nomor Panggil No. Barkod Ketersediaan
PDF 03-17-355520186 TERSEDIA
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Tidak ada ulasan pada koleksi ini: 20449847
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.
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02220872100
040LibUI eng rda
041eng
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053[03-17-355520186]
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090PDF
100Vergin Raja Sarobin M, author
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245|a Bio-inspired, cluster-based deterministic node deployment in wireless sensor networks / Vergin Raja Sarobin M, R. Ganesan |c
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336text (rdacontent)
337computer (rdamedia)
338online resource (rdacarrier)
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520The 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.
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650Technology
653Bio-inspired system; Centralized and decentralized clustering; Energy efficiency; Piping; Swarming
700R. Ganesan, author
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850Universitas Indonesia
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856http://www.ijtech.eng.ui.ac.id/index.php/journal/article/view/1886
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