ARCHIVES
Original Article
Adaptive Swarm Intelligence Routing for Energy-Efficient IoT Communications
S. Jayakrishnan1
S. Ramesh2
C. Mahesh3
1 Guest Faculty, Department of Computer Science, Thiruvalluvar University, Serkkadu, Vellore, Tamil Nadu, India. 2 3 Faculty, Department of Computer Science, Thiruvalluvar University, Serkkadu, Vellore, Tamil Nadu, India.
Published Online: March-April 2026
Pages: 74-77
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260702009References
1. W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor
networks,” in Proc. IEEE HICSS, 2000, pp. 3005–3014.
2. S. Lindsey and C. S. Raghavendra, “PEGASIS: Power-efficient gathering in sensor information systems,” in Proc. IEEE Aerospace
Conference, 2002, pp. 1125–1130.
3. M. Dorigo and T. Stützle, Ant Colony Optimization. Cambridge, MA, USA: MIT Press, 2004.
4. J. Yick, B. Mukherjee, and D. Ghosal, “Wireless sensor network survey,” Computer Networks, vol. 52, no. 12, pp. 2292–2330, 2008.
5. K. Akkaya and M. Younis, “A survey on routing protocols for wireless sensor networks,” Ad Hoc Networks, vol. 3, no. 3, pp. 325–
349, 2005.
6. I. F. Akyildiz et al., “A survey on sensor networks,” IEEE Communications Magazine, vol. 40, no. 8, pp. 102–114, 2002.
7. D. B. Johnson, D. A. Maltz, and J. Broch, “DSR: The dynamic source routing protocol for multi-hop wireless networks,” in Ad Hoc
Networking, 2001.
8. H. Karl and A. Willig, Protocols and Architectures for Wireless Sensor Networks. Wiley, 2005.
9. S. Misra et al., “A learning automata-based solution for preventing distributed denial-of-service in IoT,” IEEE Systems Journal, vol.
11, no. 3, pp. 1662–1673, 2017.
10. Q. Wang et al., “Energy-efficient routing in IoT networks using reinforcement learning,” IEEE Access, vol. 7, pp. 146–156, 2019.
11. X. Liu, “A survey on clustering routing protocols in wireless sensor networks,” Sensors, vol. 12, no. 8, pp. 11113–11153, 2012.
12. M. Chen et al., “Machine-to-machine communications in ultra-dense networks,” IEEE Communications Magazine, vol. 53, no. 1, pp.
84–91, 2015.
13. Y. Liu et al., “Swarm intelligence-based routing protocol for wireless sensor networks,” IEEE Access, vol. 8, pp. 189–200, 2020.
14. A. Nayyar and R. Singh, “Ant colony optimization-based routing in wireless sensor networks,” International Journal of
Communication Systems, vol. 31, no. 1, 2018.
15. H. Gupta et al., “IoT-based smart energy-efficient routing protocol using AI techniques,” Future Generation Computer Systems, vol.
112, pp. 115–125, 2021.
networks,” in Proc. IEEE HICSS, 2000, pp. 3005–3014.
2. S. Lindsey and C. S. Raghavendra, “PEGASIS: Power-efficient gathering in sensor information systems,” in Proc. IEEE Aerospace
Conference, 2002, pp. 1125–1130.
3. M. Dorigo and T. Stützle, Ant Colony Optimization. Cambridge, MA, USA: MIT Press, 2004.
4. J. Yick, B. Mukherjee, and D. Ghosal, “Wireless sensor network survey,” Computer Networks, vol. 52, no. 12, pp. 2292–2330, 2008.
5. K. Akkaya and M. Younis, “A survey on routing protocols for wireless sensor networks,” Ad Hoc Networks, vol. 3, no. 3, pp. 325–
349, 2005.
6. I. F. Akyildiz et al., “A survey on sensor networks,” IEEE Communications Magazine, vol. 40, no. 8, pp. 102–114, 2002.
7. D. B. Johnson, D. A. Maltz, and J. Broch, “DSR: The dynamic source routing protocol for multi-hop wireless networks,” in Ad Hoc
Networking, 2001.
8. H. Karl and A. Willig, Protocols and Architectures for Wireless Sensor Networks. Wiley, 2005.
9. S. Misra et al., “A learning automata-based solution for preventing distributed denial-of-service in IoT,” IEEE Systems Journal, vol.
11, no. 3, pp. 1662–1673, 2017.
10. Q. Wang et al., “Energy-efficient routing in IoT networks using reinforcement learning,” IEEE Access, vol. 7, pp. 146–156, 2019.
11. X. Liu, “A survey on clustering routing protocols in wireless sensor networks,” Sensors, vol. 12, no. 8, pp. 11113–11153, 2012.
12. M. Chen et al., “Machine-to-machine communications in ultra-dense networks,” IEEE Communications Magazine, vol. 53, no. 1, pp.
84–91, 2015.
13. Y. Liu et al., “Swarm intelligence-based routing protocol for wireless sensor networks,” IEEE Access, vol. 8, pp. 189–200, 2020.
14. A. Nayyar and R. Singh, “Ant colony optimization-based routing in wireless sensor networks,” International Journal of
Communication Systems, vol. 31, no. 1, 2018.
15. H. Gupta et al., “IoT-based smart energy-efficient routing protocol using AI techniques,” Future Generation Computer Systems, vol.
112, pp. 115–125, 2021.
Related Articles
2026
AI-Based Stomach Cancer Detection Using Biomarkers, Medical Images, and Voice Analysis
2026
Hydrogen-Efficient Eco-Driving and Route Planning for Fuel-Cell Electric Vehicles Using Multi-Objective Optimization Under Traffic and Terrain Uncertainty
2026
A Data-Driven Machine Learning Framework for Assessing Patent Commercial Value and Technological Significance
2026
Evaluating Student Academic Performance Through a Benchmark of Fuzzy Reasoning Models
2026
A Hybrid Soft Computing Approach for Managing Uncertainty in Data Analytics
2026