DEVELOPING A NEW MODEL OF CLUSTERING NODES WITH THE HELP OF IOT PROTOCOLS
DOI:
https://doi.org/10.47390/ts-v3i9y2025No4Ключевые слова:
clustering, note, Internet of Things, model, algorithm, optimiszation, system, protocol.Аннотация
The increasing complexity of wireless sensor networks (WSNs) combined with the advancement of Internet of Things (IoT) technologies presents significant challenges regarding efficient node clustering, crucial for optimizing network performance and energy consumption in various applications. A primary research problem arises from the inefficiencies in current clustering algorithms that often fail to account for dynamic changes in network environments, such as varying node mobility and fluctuating energy levels, leading to suboptimal routing decisions and increased latency in data transmission.
Библиографические ссылки
1. S. Rajesh, Rajulapati Devi, Prasanna Krishna, Borra Suhas, Kavuri Geetha Prasanna, Yerra Veera, Bhadra Siva Kumar. "Smart village enabled by IoT" International Research Journal of Modernization in Engineering Technology and Science.
2. T.Anusha Dr, M.Pushpalatha. "Designing and Fine Tuning a Fire Safety Monitoring System for Smart Buildings using RPL Protocol" Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India, 2021, doi: https://www.semanticscholar.org/paper/d5dfc2d952bcb3e9bd9f8269d31c6886d76d064f
3. Pietro Danzi, A. Kalør, Čedomir Stefanović, P. Popovski. "Delay and Communication Tradeoffs for Blockchain Systems With Lightweight IoT Clients" IEEE Internet of Things Journal, 2018, 2354-2365. doi: https://www.semanticscholar.org/paper/d9b0ac5303c089246db936546122001fd5043581
4. Hajar Hammouch, M. El-Yacoubi, Huafeng Qin, Hassan Berbia. "A Systematic Review and Meta-Analysis of Intelligent Irrigation Systems" IEEE Access, 2024, 128285-128304.
5. Mohammad Mobarak Hossain, M. A. Kashem, Md. Monirul Islam, Md. Sahidullah, Sumona Hoque Mumu, Jia Uddin, Daniel Gavilanes Aray, et al.. "Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review" Sensors (Basel, Switzerland), 2023
6. V. Swathi, G. S. Kumar, A. Vathsala. "Cloud Service Selection System Approach based on QoS Model: A Systematic Review" International Journal on Recent and Innovation Trends in Computing and Communication, 2023
7. Dr. Rajesh K Shukla. "EWFAIGF: Design of an Efficient Model for Enhancing Energy Efficiency in IoT-Based Wireless Sensor Networks through Fuzzy AHP and Iterative Grey Wolf Jelly Fish Optimization" Journal of Electrical Systems, 2024, doi: https://www.semanticscholar.org/paper/ed448ac514de8c137683493a70a427921568d4b9
8. M. Alreshoodi. "Towards Effective Multisink Support in IPv6-based IoT Networks" International Journal of Advanced Trends in Computer Science and Engineering, 2020
9. Pietro Danzi, A. Kalør, Čedomir Stefanović, P. Popovski. "Delay and Communication Tradeoffs for Blockchain Systems With Lightweight IoT Clients" IEEE Internet of Things Journal, 2018, 2354-2365
10. T. Evans, C. Burns, Ryan Essex, G. Finnerty, Ella Hatton, A. Clements, Genevieve Breau, et al. "A systematic scoping review on the evidence behind debriefing practices for the wellbeing/emotional outcomes of healthcare workers" Frontiers in Psychiatry, 2023
11. Leelavathi R, Vidya A. "AM-RPL in a Hybrid IoT Network with Static and Dynamic Devices in Cooja Simulator" Communications on Applied Nonlinear Analysis, 2025, doi: https://www.semanticscholar.org/paper/cfa6b495e866369ebd38f54082f7751e6db373ca
12. A. Hosen, Saurabh Singh, P. Sharma, Md. Sazzadur Rahman, In-ho Ra, G. Cho, Deepak Puthal. "A QoS-Aware Data Collection Protocol for LLNs in Fog-Enabled Internet of Things" IEEE Transactions on Network and Service Management, 2020, 430-444.
13. M. A. De Oliveira, Anderson M. da Rocha, F. E. Puntel, G. H. Cavalheiro. "Time Series Compression for IoT: A Systematic Literature Review" Wireless Communications and Mobile Computing, 2023, doi: https://www.semanticscholar.org/paper/e9c2b1d32ceef3b24bba1f9081018faabde83a19