Oppositional chaos game optimization based clustering with trust based data transmission protocol for intelligent IoT edge systems

Journal of Parallel and Distributed Computing - Tập 164 - Trang 142-151 - 2022
M. Padmaa1, T. Jayasankar2, S. Venkatraman3, Ashit Kumar Dutta4, Deepak Gupta5, Shahab Shamshirband6, Joel J.P.C. Rodrigues7,8
1Department of Electronics and Communication Engineering, Saranathan College of Engineering, Tiruchirapalli, India
2Department of Electronics and Communication Engineering, University College of Engineering, BIT Campus, Anna University, Tiruchirappalli, India
3School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
4Department of Computer Science and Information System, College of Applied Sciences, AlMaarefa University, Riyadh 11597, Saudi Arabia
5Maharaja Agarsen Institute of Technology, New Delhi, India
6Future Technology Research Center, National Yunlin University of Science and Technology, Douliou 64002, Taiwan
7College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266555, China
8Instituto de Telecomunicações, Covilhã, Portugal

Tài liệu tham khảo

Almiani, 2020, Deep recurrent neural network for IoT intrusion detection system, Simul. Model. Pract. Theory, 101, 10.1016/j.simpat.2019.102031 Alqahtani, 2020, TBM: a trust-based monitoring security scheme to improve the service authentication in the Internet of Things communications, Comput. Commun., 150, 216, 10.1016/j.comcom.2019.11.030 Alshehri, 2019, A fuzzy security protocol for trust management in the internet of things (Fuzzy-IoT), Computing, 101, 791, 10.1007/s00607-018-0685-7 Atlam, 2018, Fog computing and the Internet of things: a review, Big Data Cogn. Comput., 2, 10, 10.3390/bdcc2020010 Awan, 2020, StabTrust—a stable and centralized trust-based clustering mechanism for IoT enabled vehicular ad-hoc networks, IEEE Access, 8, 21159, 10.1109/ACCESS.2020.2968948 Behera, 2019, Residual energy-based cluster-head selection in WSNs for IoT application, IEEE Int. Things J., 6, 5132, 10.1109/JIOT.2019.2897119 Cacciagrano, 2019, Energy-efficient clustering for wireless sensor devices in Internet of things, 59 Erdelj, 2017, Wireless sensor networks and multi-UAV systems for natural disaster management, Comput. Netw., 124, 72, 10.1016/j.comnet.2017.05.021 Fang, 2021, Trust management-based and energy efficient hierarchical routing protocol in wireless sensor networks Ilyas, 2020, Trust-based energy-efficient routing protocol for Internet of things–based sensor networks, Int. J. Distrib. Sens. Netw., 16, 10.1177/1550147720964358 Kalkan, 2020, SUTSEC: SDN utilized trust based secure clustering in IoT, Comput. Netw., 178, 10.1016/j.comnet.2020.107328 Karthick, 2019, Optimized cluster head selection using Krill Herd algorithm for wireless sensor network, Automatika, 60, 340, 10.1080/00051144.2019.1637174 Kaur, 2020, Sandpiper optimization algorithm: a novel approach for solving real-life engineering problems, Appl. Intell., 50, 582, 10.1007/s10489-019-01507-3 Kwon, 2019, Intelligent IoT connectivity: deep reinforcement learning approach, IEEE Sens. J., 20, 2782, 10.1109/JSEN.2019.2949997 Lv, 2018, An improved bacterial-foraging optimization-based machine learning framework for predicting the severity of somatization disorder, Algorithms, 11, 17, 10.3390/a11020017 Maddikunta, 2020, Green communication in IoT networks using a hybrid optimization algorithm, Comput. Commun., 159, 97, 10.1016/j.comcom.2020.05.020 Malchi, 2021, A trust-based fuzzy neural network for smart data fusion in internet of things, Comput. Electr. Eng., 89, 10.1016/j.compeleceng.2020.106901 Markiewicz, 2020, Clust-IT: clustering-based intrusion detection in IoT environments, 1 Nazarzehi, 2018, Distributed self-deployment of mobile wireless 3D robotic sensor networks for complete sensing coverage and forming specific shapes, Robotica, 36, 1, 10.1017/S0263574717000121 Sadrishojaei, 2021, A new preventive routing method based on clustering and location prediction in the mobile Internet of Things, IEEE Int. Things J., 10.1109/JIOT.2021.3049631 Santos, 2019, Clustering and reliability-driven mitigation of routing attacks in massive IoT systems, J. Internet Serv. Appl., 10, 1, 10.1186/s13174-019-0117-8 Talatahari, 2021, Chaos game optimization: a novel metaheuristic algorithm, Artif. Intell. Rev., 54, 917, 10.1007/s10462-020-09867-w Tizhoosh, 2005, Opposition-based learning: a new scheme for machine intelligence, 695 Wang, 2020, Edge-computing-based trustworthy data collection model in the internet of things, IEEE Int. Things J., 7, 4218, 10.1109/JIOT.2020.2966870 Yu, 2017, A survey on the edge computing for the Internet of Things, IEEE Access, 6, 6900, 10.1109/ACCESS.2017.2778504