Applying Artificial Bee Colony Algorithm to Improve UWSNs Communication
- Title
- Applying Artificial Bee Colony Algorithm to Improve UWSNs Communication
- Creator
- Habelalmateen M.I.; Kaur A.; Tiwari A.; Shalini M.; Victor M.; Kumar N.S.
- Description
- The research in this study aims at implementing the ABC algorithm to enhance the communication within UWSNs. The ABC algorithm, motivated by the CPG approach being analogous to that of honey bees searching for food, specifies optimal values for critical parameters of the network such as energy consumption, reliability in data transfer, and scalability. From the analyses conducted in this exposition, it is apparent that the envisaged methodology outperforms other conventional routing parlances in the following ways: minimal energy usage, high data delivery ratios, low packet drops, and longest network lifetime. Therefore, from the above results it can be concluded that, the said ABC algorithm is helping in achieving a better result in terms of improved underwater communication as well as in mitigating with the difficulties of UWSNs. 2024 IEEE.
- Source
- 2024 IEEE International Conference on Communication, Computing and Signal Processing, IICCCS 2024
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Artificial Bee Colony algorithm; bio-inspired optimization; communication reliability; data transmission; energy efficiency; network scalability; Underwater Wireless Sensor Networks
- Coverage
- Habelalmateen M.I., The Islamic University, College of Technical Engineering, Department of Computers Techniques Engineering, Najaf, Iraq, The Islamic University of Al Diwaniyah, College of Technical Engineering, Department of Computers Techniques Engineering, Al Diwaniyah, Iraq; Kaur A., Chandigarh Group of Colleges, Chandigarh Engineering College, Department of Computer Science Engineering, Punjab, Mohali, India; Tiwari A., Ies College of Technology, Department of Electronics & Communication Engineering, M.P., Bhopal, India; Shalini M., Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, India; Victor M., Christ (Deemed to be University), School of Business and Management, India; Kumar N.S., (E.Tech.) Srm Institute of Science & Technology, Department of Computer Science & Engineering, Chennai, 26, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835039075-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Habelalmateen M.I.; Kaur A.; Tiwari A.; Shalini M.; Victor M.; Kumar N.S., “Applying Artificial Bee Colony Algorithm to Improve UWSNs Communication,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19023.