A Randomized Algorithm for Wireless Sensor Network Lifetime Optimization
Author:
Affiliation:
1. Silesian University of Technology, Gliwice, Poland
2. VSB-Technical University of Ostrava, Ostrava, Czech Rep
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3551661.3561370
Reference17 articles.
1. Cuckoo search algorithm for target coverage and sensor scheduling with adjustable sensing range in wireless sensor network
2. Power efficient monitoring management in sensor networks
3. Salim Bouamama , Christian Blum , and Pedro Pinacho-Davidson . 2022 . A Population-Based Iterated Greedy Algorithm for Maximizing Sensor Network Lifetime . Sensors , Vol. 22 , 5 (2022). https://doi.org/10.3390/s22051804 10.3390/s22051804 Salim Bouamama, Christian Blum, and Pedro Pinacho-Davidson. 2022. A Population-Based Iterated Greedy Algorithm for Maximizing Sensor Network Lifetime. Sensors, Vol. 22, 5 (2022). https://doi.org/10.3390/s22051804
4. Improving Wireless Sensor Network Lifetime through Power Aware Organization
5. Energy-efficient target coverage in wireless sensor networks
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