Energy Efficient Cluster Analysis for Heterogeneous Wireless Sensor Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08638-2.pdf
Reference21 articles.
1. Anzola, J., Pascual, J., Tarazona, G., & González, R. (2018). A clustering WSN routing protocol based on k-d tree algorithm. Sensors (Switzerland), 18(9), 1–26. https://doi.org/10.3390/s18092899
2. Behera, T. M., Mohapatra, S. K., Samal, U. C., & Khan, M. S. (2019). Hybrid heterogeneous routing scheme for improved network performance in WSNs for animal tracking. Internet of Things, 6, 100047. https://doi.org/10.1016/j.iot.2019.03.001
3. Das, I., Shaw, R. N., & Das, S. (2020). Location based and multipath routing performance analysis for energy consumption in wireless sensor networks. In M. N. Favorskaya, S. Mekhilef, R. K. Pandey, & N. Singh (Eds.), Innovations in electrical and electronic engineering. Singapore: Springer. https://doi.org/10.1007/978-981-15-4692-1
4. Dehghani, S., Pourzaferani, M., & Barekatain, B. (2015). Comparison on energy-efficient cluster based routing algorithms in wireless sensor network. Procedia Computer Science, 72, 535–542. https://doi.org/10.1016/j.procs.2015.12.161
5. Dimitriou, G., Kikiras, P. K., Stamoulis, G. I., & Avaritsiotis, I. N. (2005). A tool for calculating energy consumption in wireless sensor networks. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3746 LNCS (pp. 611–621). https://doi.org/10.1007/11573036_58.
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