Several facets of my research work can be accessed from the following profiles:
Here you can find a compilation of my scientific publications.
international journal articles
Xinlu Li, Brian Keegan, Fredrick Mtenzi, Thomas Weise, and Ming Tan. Energy-Efficient Load Balancing Ant Based Routing Algorithm for Wireless Sensor Networks. IEEE Access 7:113182–113196. August 2019.
doi:10.1109/ACCESS.2019.2934889 / pdf@IAO / pdf@IEEE
Indexing: EI, SCIE, 2区
Xinlu Li, Brian Keegan, and Fredrick Mtenzi. Energy Efficient Hybrid Routing Protocol Based on the Artificial Fish Swarm Algorithm and Ant Colony Optimization for WSNs. Sensors, 18(10):3351, October 2018.
doi:10.3390/s18103351 / pdf
Indexing: SCI, EI, 3区.
Xinlu Li, Brian Keegan, and Fredrick Mtenzi. Clustering Opportunistic Ant-Based Routing Protocol for Wireless Sensor Networks. In Proceedings of the 7th International Conference on Computer Engineering and Networks (CENet2017), July 22-23, 2017, Shanghai, China, volume 299 of Proceedings of Science (PoS), Trieste, Italy: Sissa Medialab.
doi:10.22323/1.299.0038 / pdf
Xinlu Li, Brian Keegan, and Fredrick Mtenzi. Ant Colony Clustering Routing Protocol for Optimization of Large-Scale Wireless Sensor Networks. In Cristina Muntean and Pramod Pathak, editors, Proceedings of the 14th Information Technology and Telecommunications Conference (IT&T'2015), October 29-30, 2015, National College of Ireland, Dublin, Ireland, pages 2–9. ISSN 1649-1246
Jie Song and Xinlu Li. Porting μC/OS-II based on NE-STR750. In Proceedings of the 2nd International Symposium on Information Technologies and Applications in Education (ISITAE 2008), December 7-10, 2008, Auckland, New Zealand, pages 247–251. Institution of Engineering and Technology (IET). ISBN: 978-0-86341-913-3.
national journal articles
Xinlu Li and Guanghong Zhang. Energy-Efficient Clustering Routing Algorithm for Multi-Level Energy Heterogeneous Networks. Journal of Chaohu College. 17(3):20–25, 2015. (Chinese Article)
Thomas Weise, Zhize Wu, Xinlu Li, and Yan Chen. Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function. Submitted to IEEE Transactions on Evolutionary Computation in January 2020. Preprint available at arXiv:2001.01416v2 [cs.NE] 7 Jan 2020.
pdf / paper@arxiv / experimental results and source code data set @ doi:10.5281/zenodo.3598171