A Study of the Optimization Techniques for Wireless Sensor Networks (WSNs)-Reference-Cited by-同舟云学术

A Study of the Optimization Techniques for Wireless Sensor Networks (WSNs)

Published:2018 Issue: Volume: Page:909-915
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Parwekar Pritee,Rodda Sireesha,Kalla Neeharika

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7512-4_90

Reference9 articles.

1. P. Lalwani, S. Das. “Bacterial Foraging Optimization Algorithm for CH selection and routing in wireless sensor networks.” 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), Dhanbad, 2016: pp. 95–100.

2. G. Gajalakshmi, G. U. Srikanth. “A survey on the utilization of Ant Colony Optimization (ACO) algorithm in WSN.” 2016 International Conference on Information Communication and Embedded Systems (ICICES), Chennai, 2016: pp. 1–4.

3. A.A.Abba Ari, A. Gueroui, B. O. Yenke, N. Labraoui. “Energy efficient clustering algorithm for Wireless Sensor Networks using the ABC metaheuristic.” 2016 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, 2016: pp. 1–6.

4. Ilhem Boussaïd, Julien Lepagnot, Patrick Siarry. “A survey on optimization metaheuristics.” Information Sciences, Volume 237, 2013: pp. 82–117.

5. L. Aziz, S. Raghay, H. Aznaoui, A. Jamali. “A new approach based on a genetic algorithm and an agent cluster head to optimize energy in Wireless Sensor Networks.” 2016 International Conference on Information Technology for Organizations Development (IT4OD), Fez, 2016: pp. 1–5.

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing cluster head selection for energy efficiency in wireless sensor networks: A hybrid algorithm combining grey wolf and enhanced sunflower optimization;Internet Technology Letters;2024-08-11

2. An Exploratory Study of Optimization Techniques for Congestion Control in Wireless Sensor Networks;AD HOC SENS WIREL NE;2024

3. A study of metaheuristic optimization techniques for wirelesssensor network’s energy-efficient routing;AIP Conference Proceedings;2024

4. Robust Load Balancing Scheme in WSNs;2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN);2023-04-20

5. Enhancing Graph Routing Algorithm of Industrial Wireless Sensor Networks Using the Covariance-Matrix Adaptation Evolution Strategy;Sensors;2022-10-01