A Qos-Aware, Hybrid Particle Swarm Optimization-Cuckoo Search Clustering Based Multipath Routing in Wireless Sensor Networks

Barati, H., Movaghar, A., & Rahmani, A. M. (2015). EACHP: Energy Aware clustering hierarchy protocol for large scale wireless sensor networks. Wireless Personal Communication, 85(3), 765–789.

Adu-Manu, K. S., Adam, N., Tapparello, C., Ayatollahi, H., & Heinzelman, W. (2018). Energy harvesting wireless sensor networks (EH-WSNs): A review. ACM Trans Sensor Networks (TOSN), 14(2), 1–50. https://doi.org/10.1145/3183338

Sohraby, K., Minoli, D., & Znati, T. (2007). Wireless sensor networks: Technology, protocols, and applications. John Wiley & Sons.

Villalba, L. J. G., OrozcoAna, L. S., Cabrera, A. T., & Abbas, C. J. B. (2007). Routing protocols in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 1, 919–931.

Sohrab, K., Gao, J., Ailawadh, V., & Pottie, G. J. (2000). Protocols for self-organization of a Wireless Sensor Network. Personal Communication Journal, 7(5), 16–27.

Heinelman, W. R., Chandrakasan, A., Balakrishnan, H. (2002). Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (pp. 4–7). USA.

Haque, M., Ahmad, T., & Imran, M. (2018). Review of hierarchical routing protocols for wireless sensor networks. In Intelligent communication and computational technologies (pp. 237–246). Springer.

Yan, J., Zhou, M., & Ding, Z. (2016). Recent advances in energy-efficient routing protocols for wireless sensor networks: A review. IEEE Access, 4, 5673–5686. https://doi.org/10.1109/ACCESS.2016.2598719

Robinson, Y. H., Julie, E., Kumar, R., et al. (2019). Probability-based cluster head selection and fuzzy multipath routing for prolonging lifetime of wireless sensor networks. Peer-to-Peer Network Applications, 12, 1061–1075.

Ganesan, D., Govindan, R., Shenker, S., & Estrin, D. (2001). Highly-resilient, energy-efficient multipath routing in wireless sensor networks. In Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing (MobiHoc '01). Association for Computing Machinery, New York, NY, USA, 251–254. https://doi.org/10.1145/501449.501452

De, S., Qiao, C., & Wu, H. (2003). Meshed multipath routing with selective forwarding: an efficient strategy in wireless sensor networks. Computer Network, 43(4), 481–497. https://doi.org/10.1016/S1389-1286(03)00355-4

Younis, O., & Fahmy, S. (2004). Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach. IEEE INFOCOM 2004 (p. 640). March 7–11, 2004, Hong Kong, China. https://doi.org/10.1109/INFCOM.2004.1354534

Yang, Y., Bai, E., Hu, J., & Wu, W. (2010). MRBCH: A multi-path routing protocol based on credible cluster heads for wireless sensor networks. International Journal on Communications Network and System Sciences, 3, 689–696. https://doi.org/10.4236/ijcns.2010.38092

Sohrabi, K., Gao, J., Ailawadhi, V., & Pottie, G. J. (2000). Protocols for self-organization of a wireless sensor network. IEEE Personal Communications, 7(5), 16–27.

He, T., et al. (2003). SPEED: A stateless protocol for real-time communication insensor networks. In Proceedings of the IEEE international conference on distributed computing systems (pp. 46–55)

Felemban, E., Chang-Gun, L., & Ekici, E. (2006). MMSPEED: Multipath multi speed protocol for QoS guarantee of reliability and timelines in Wireless SensorNetwork. IEEE Transactions on Mobile Computing, 5(6), 738–754.

Bagheri, T., Ghaffari, A., (2011). RECM: Reliable and energy effective clustering based multipath routing algorithm for Wireless Sensor Networks. In Proceedings of IEEE world congress on information and communication technologies (pp 1340–1345)

Mazaheri, M. R., Homayounfar, B., & Mazinani, S. M. (2012). QoS based and energyaware multipath hierarchical routing algorithms in WSNs. Wireless SensorNetw., 4, 31–39.

Almalkawi, I. T., Zapata, M. G., & Al-Karaki, J. N. (2012). A cross-layer-based clustered multipath routing with QoS-aware scheduling for Wireless Multimedia Sensor Networks. Int. J. Distrib. Sensor Netw., 1, 1–11.

Deepa, O., & Suguna, J. (2020). An optimized QoS-based clustering with multipath routing protocol for Wireless Sensor Networks. Journal of King Saud University - Computer and Information Sciences, 32(7), 763–774.

Shahbaz, A. N., et al. (2021). Multipath routing through the firefly algorithm and fuzzy logic in wireless sensor networks. Peer PeerNetw. Appl., 14(2021), 541–558.

Kshirsagar, P., Balakrishnan, N., & Yadav, A. D. (2020). Modelling of optimised neural network for classification and prediction of benchmark datasets. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 8(4), 426–435. https://doi.org/10.1080/21681163.2019.1711457

Kshirsagar, P., Akojwar, S., & Bajaj, N. (2020). A hybridised neural network and optimisation algorithms for prediction and classification of neurological disorders. International Journal of Biomedical Engineering and Technology, 28(4), 1. https://doi.org/10.1504/IJBET.2018.095981

Kshirsagar, P., & Akojwar, S. (2016). “Optimization of BPNN parameters using PSO for EEG signals”, ICCASP/ICMMD-2016. Advances in Intelligent Systems Research., 137, 385–394.

Kshirsagar, P., & Akojwar, S. (2015). Classification & Detection of Neurological Disorders using ICA & AR as Feature Extractor. International Journal of Series Engineering Scientific IJSES, 1(1), 1–6.

Akojwar, S. G., & Kshirsagar, P. R. (2016). A novel probabilistic-PSO based learning algorithm for optimization of neural networks for benchmark problems. In WSEAS International conference on Neural Network-2016, Rome, Italy.

Kshirsagar, P. R., Manoharan, H., Al-Turjman, F., & Kumar, K. (2020). DESIGN AND TESTING OF AUTOMATED SMOKE MONITORING SENSORS IN VEHICLES. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2020.3044604

Joseph, S., & Rajaram, A. (2017). A Novel Enhanced SVM cluster based secure and effective routing protocol for node authentication in Mobile Ad Hoc Networks. International Journal of Computer Technology and Applications (IJCTA), 10(19), 25–39.