Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/14894
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dc.contributor.authorNaik C.
dc.contributor.authorPushparaj Shetty D.
dc.date.accessioned2021-05-05T10:15:57Z-
dc.date.available2021-05-05T10:15:57Z-
dc.date.issued2020
dc.identifier.citationAdvances in Intelligent Systems and Computing , Vol. 1154 , , p. 955 - 969en_US
dc.identifier.urihttps://doi.org/10.1007/978-981-15-4032-5_86
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/14894-
dc.description.abstractIn wireless sensor networks, the performance metric such as energy conservation becomes paramount. One of the fundamental problems of energy drains is due to the interference of sensors during sensing, transmission, and receiving data. The issue of placing sensors on a region of interest to minimize the sensing and communication interference with a connected network is NP-complete. In order to overcome the existing problem, we have proposed a new work for interference minimization technique for optimal placement of sensors by employing biogeography-based optimization scheme. An efficient habitats representation, objective function derivation, migration, and mutation operators are adopted in the scheme. The simulations are performed to obtain the optimal position for sensor placement. Finally, the energy-saving of the network is compared with and without interference aware sensor nodes placement. © 2020, Springer Nature Singapore Pte Ltd.en_US
dc.titleIntelligent Interference Minimization Algorithm for Optimal Placement of Sensors using BBOen_US
dc.typeConference Paperen_US
Appears in Collections:2. Conference Papers

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