PSO-DEC: PSO based deterministic energy efficient clustering protocol for IoT

References

• Chawla, Mridul, and Manoj Duhan. “Bat algorithm: a survey of the state-of-the-art.” Applied Artificial Intelligence 29, no. 6, pp. 617-634, (2017). doi: 10.1080/08839514.2015.1038434
   Web of Science ®Google Scholar
• Elhabyan, Riham S., and Mustapha CE Yagoub. “PSO-HC: Particle swarm optimization protocol for hierarchical clustering in Wireless Sensor Networks.” 10th IEEE International Conference On Collaborative Computing: Networking, Applications And Worksharing. IEEE, (2014).
   Google Scholar
• F.A. ADerohunmu, J.D. Deng, M.K. Purvis, “A Deterministic energy-efficient clustering protocol for wireless sensor networks”, Proceedings of Seventh IEEE International Conference on Intelligent Sensors Sensor Networks and Information Processing, pp. 341-346, (2011).
   Google Scholar
• G. Smaragdakis, I. Matta, A. Bestavros, “SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks.” in: Second International Workshop on Sensor and Actor Network Protocols and Applications (SANPA 2004), (2004).
   Google Scholar
• Hong-Song, Chen, Zhang Jianyu, and H. W. J. Lee. “A novel NP-based security scheme for AODV routing protocol.” Journal of Discrete Mathematical Sciences and Cryptography 11, no. 2,pp. 131-145, (2018) doi: 10.1080/09720529.2008.10698172
   Google Scholar
• Janani, V. S., and M. S. K. Manikandan. “Genetic-IDGKA: Genetic ID-Based Group Key Agreement Protocol for Large MANETs.” Journal of Discrete Mathematical Sciences and Cryptography 18, no. 3 pp. 313-333, (2018). doi: 10.1080/09720529.2015.1023535
   Google Scholar
• Jin, Hua, Aixin Wang, and Yatao Zhu. “Network security of low power wireless router based on clustering routing algorithm.” Journal of Interdisciplinary Mathematics 21, no. 5, pp. 1221-1225, (2018). doi: 10.1080/09720502.2018.1495229
   Web of Science ®Google Scholar
• Kuila, Pratyay, and Prasanta K. Jana. “Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach.” Engineering Applications of Artificial Intelligence vol.33,pp.127-140,(2014). doi: 10.1016/j.engappai.2014.04.009
   Web of Science ®Google Scholar
• Kulkarni, Raghavendra V., and Ganesh Kumar Venayagamoorthy. “Particle swarm optimization in wireless-sensor networks: A brief survey.” IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) vol. 41 no. 2, pp.262-267,(2011). doi: 10.1109/TSMCC.2010.2054080
   Web of Science ®Google Scholar
• Kumar, Kakelli Anil, Addepalli VN Krishna, and K. ShahuChatrapati. “New secure routing protocol with elliptic curve cryptography for military heterogeneous wireless sensor networks.” Journal of Information and Optimization Sciences 38, no. 2, pp. 341-365, (2017) doi: 10.1080/02522667.2016.1220092
   Web of Science ®Google Scholar
• Lalar, Sachin, ShashiBhushan, and Surender. “An efficient tree-based clone detection scheme in wireless sensor network.” Journal of Information and Optimization Sciences 40, no. 5, pp.1003-1023, (2019) doi: 10.1080/02522667.2019.1637998
   Web of Science ®Google Scholar
• Mahmoud, Haitham Hassan, Hussein M. ElAttar, Asmaa Saafan, and Hesham ElBadawy. “Optimal operational parameters for 5G energy harvesting cognitive wireless sensor networks.” IETE Technical Review 34, no. sup1, pp. 62-72, (2017).
   Web of Science ®Google Scholar
• O. Younis et al., “uHEED: A Hybrid Energy-Efficient Distributed Clustering Approach for Ad Hoc Sensor Networks”, IEEE Transactions on Mobile Computing, vol. 3, no. 4, pp. 660-669, (2004). doi: 10.1109/TMC.2004.41
   Web of Science ®Google Scholar
• Pathak, Sunil, and Sonal Jain. “Comparative study of clustering algorithms for MANETs.” Journal of Statistics and Management Systems 22, no. 4, pp. 653-664, (2019). doi: 10.1080/09720510.2019.1609723
   Web of Science ®Google Scholar
• Rao, PC Srinivasa, Prasanta K. Jana, and Haider Banka. “A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks.” Wireless networks vol.23 no. 7, pp.2005-2020, (2017). doi: 10.1007/s11276-016-1270-7
   Web of Science ®Google Scholar
• S. Lindsey et al., “PEGASIS: Power-Efficient Gathering in Sensor Information Systems”, IEEE Aerospace Conference Proceedinqs, vol. 3, no. 9–16, pp. 1125-1130, (2002).
   Google Scholar
• Saad, George W. Helmy, and Magdy A. Ahmed. “Power saving by incorporating mobile agents and clustering approach in wireless sensor networks.” Journal of Discrete Mathematical Sciences and Cryptography 15, no. 2-3, pp. 135-147, (2012) doi: 10.1080/09720529.2012.10698370
   Google Scholar
• Singh, Samayveer, and Aruna Malik. “hetSEP: Heterogeneous SEP protocol for increasing lifetime in WSNs.” Journal of Information and Optimization Sciences 38, no. 5, pp. 721-743, (2017). doi: 10.1080/02522667.2016.1220093
   Web of Science ®Google Scholar
• Tudorache, I. G., A. M. Popescu, and A. H. Kemp. “PRP: peripheral routing protocol for WSN realistic marginal mobility model.” International Journal of Electronics, vol. 104, no. 2 pp. 238-249, (2017). doi: 10.1080/00207217.2016.1196751
   Web of Science ®Google Scholar
• Vijayashree, R., and C. Suresh Ghana Dhas. “Energy efficient data collection with multiple mobile sinks using artificial bee colony algorithm in large-scale WSN.” Automatikapp.1-9, (2019).
   Google Scholar
• W. Heinzelman, A. Chandrakasan and H. Balakrishnan, “Energy Efficient Communication Protocol for Wireless Microsensor Networks,” IEEE Proceedings of the 33rd Hawaii International Conference on System Sciences (HICSS ‘00), (2000).
   Google Scholar