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1 Ergebnisse
1
Black Hole Algorithm-Based Clustering Approach for Energy-E..:
, In:
2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
,
Nirmal, K.
;
Murugan, S.
- p. 12-17 , 2023
Link:
https://doi.org/10.1109/ICSCNA58489.2023.10370603
RT T1
2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
: T1
Black Hole Algorithm-Based Clustering Approach for Energy-Efficient Wireless Sensor Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10370603&Exemplar=1&LAN=DE A1 Nirmal, K. A1 Murugan, S. YR 2023 K1 Wireless sensor networks K1 Energy consumption K1 Power supplies K1 Energy resources K1 Voting K1 Input variables K1 Clustering algorithms K1 Clustering K1 Energy efficiency K1 Black hole algorithm K1 Wireless sensor network K1 Cluster head SP 12 OP 17 LK http://dx.doi.org/https://doi.org/10.1109/ICSCNA58489.2023.10370603 DO https://doi.org/10.1109/ICSCNA58489.2023.10370603 SF ELIB - SuUB Bremen
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