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| Title | Enhanced Seagull Optimization Algorithm Based Route Selection In Iot Assisted Wireless Sensor Networks |
|---|---|
| ID_Doc | 23671 |
| Authors | Karunakaran S.; Sivaraman R.; Maharajothi M.; Deepika J.; Vignesh Saravanan K.; Jayanthi N. |
| Year | 2024 |
| Published | 2nd IEEE International Conference on Advances in Information Technology, ICAIT 2024 - Proceedings |
| DOI | http://dx.doi.org/10.1109/ICAIT61638.2024.10690745 |
| Abstract | Routing in Internet of Things (IoT) aided Wireless Sensor Networks (WSNs) is a serious procedure that defines a path or series of nodes via which data is transferred within network. This verdict is vital for enhancing data communication as well as energy competence, confirming that IoT systems and sensors proficiently gather and convey data to their proposed destinations. The selection of routes contains evaluating many factors such as transmission range, data packet size, node energy levels, network topology, and excellence of communication links. By creating knowledgeable decisions regarding route selection, IoT-assisted WSNs improve data reliability, reduce energy consumption as well as sustain seamless connectivity which is vital for a huge extent of uses such as industrial automation, smart cities, environmental monitoring, and healthcare. This manuscript develops an Enhanced Seagull Optimization Algorithm Route Selection Approach (ESOA-RSA) in IoT Assisted Wireless Sensor Networks. The principle of ESOA-RSA techniques lies in usage of Levy flight strategy within Seagull Optimization Algorithm (SOA) that improves exploration abilities of model. The developed fitness function in this method incorporates 3 key parameters namely distance, residual energy and node degree. This joined method goals to classify most effectual and trustworthy routes for data transmission in IoT assisted WSNs. By considering these parameters, this model enhances route selection to exploit data reliability, diminish energy consumption, and guarantee seamless connectivity within network. The experimental values highlight importance of ESOA-RSA method for enhancing performance and competence of IoT-assisted WSNs, mainly in applications such as smart cities, environmental monitoring, industrial automation, and healthcare. © 2024 IEEE. |
| Author Keywords | Internet of Things; Node Degree; Routing Process Wireless Sensor Network; Seagull Optimization Algorithm |
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