Heidari, H., et al.: Energy harvesting and power management for IoT devices in the 5G era. IEEE Commun. Mag. 599, 91–97 (2021)
Hassan, T., et al.: CTrust-RPL: a control layer-based trust mechanism for supporting secure routing in routing protocol for low power and lossy networks-based Internet of Things applications. Trans. Emerg. Telecommun. Technol. 32(3), e4224 (2021)
Jamalipour, A., Murali, S.: A taxonomy of machine-learning-based intrusion detection systems for the internet of things: a survey. IEEE Internet Things J. 9(12), 9444–9466 (2021)
Ghanbari, Z., et al.: The applications of the routing protocol for low-power and lossy networks (RPL) on the internet of mobile things. Int. J. Commun. Syst. 35(14), e5253 (2022)
Fahmy, H.M.A.: Energy and Lifetime Aware Routing Protocols for WSNs Concepts, Applications, Experimentation and Analysis of Wireless Sensor Networks, pp. 245–309. Springer, Cham (2023)
Alghamdi, S.A.: Cuckoo energy-efficient load-balancing on-demand multipath routing protocol. Arab. J. Sci. Eng. 47(2), 1321–1335 (2022)
Albattah, W., et al.: An overview of the current challenges, trends, and protocols in the field of vehicular communication. Electronics 11(21), 3581 (2022)
Malik, F.M., et al.: Performance evaluation of data dissemination protocols for connected autonomous vehicles. IEEE Access 8, 126896–126906 (2020)
Medeiros, D.D., et al.: Energy-saving routing protocols for smart cities. Energies 15(19), 7382 (2022)
Gidado, A.H.: Adaptive Energy Saving and Mobility Support IPv6 Routing Protocol in Low-power and Lossy Networks for Internet of Things and Wireless Sensor Networks. University of Salford, London (2022)
Shetty, Spoorthi B., and Mangala S.: Energy Efficient RPL objective function using FIT IoT-Lab. International Conference on Innovative Computing and Communications: In: Proceedings of ICICC 2022, Vol. 3. Springer Nature Singapore, Singapore (2022)
Telgote, A., and Mande S.: Analyzing the effect of different objectivefunctions on energy efficiency for RPL-basedRouting in low power lossy networks for IoT application. (2023)
Gurusamy, D., Diriba, G.: Sensor network and energy harvesting solutions towards water quality monitoring in developing countries. Wirel. Pers. Commun. 127(4), 2761–2779 (2022)
Hasan, B.T., Badran, A.I.: A Study on Energy Management for Low-Power IoT Devices Low Power Architectures for IoT Applications, pp. 1–24. Springer Nature Singapore, Singapore (2023)
Satpathy, S., et al.: An in-depth study of the electrical characterization of supercapacitors for recent trends in energy storage system. J. Energy Storage 57, 106198 (2023)
Bidai, Z.: RPL enhancement to support video traffic for IoMT applications. Wirel. Pers. Commun. 122(3), 2367–2394 (2022)
Rottleuthner, M., Schmidt, T.C., Wählisch, M.: Sense your power: the ECO approach to energy awareness for IoT devices. ACM Trans. Embed. Comput. Syst. (TECS) 20(3), 1–25 (2021)
Kumar, A., et al.: Energy-efficient fog computing in Internet of Things based on Routing Protocol for Low-Power and Lossy Network with Contiki. Int. J. Commun. Syst. 35(4), e5049 (2022)
Hernández-Ramos, J.L., et al.: Defining the behavior of IoT devices through the mud standard: Review, challenges, and research directions. IEEE Access 9, 126265–126285 (2021)
Das, P., et al.: A low cost outdoor air pollution monitoring device with power controlled built-in PM sensor. IEEE Sens. J. 22(13), 13682–13695 (2022)
Pereira, H., et al.: Increased network lifetime and load balancing based on network interface average power metric for RPL. IEEE Access 8, 48686–48696 (2020)
Zhang, H., et al.: Cooperative integration of RF energy harvesting and dedicated WPT for wireless sensor networks. IEEE Microw. Wirel. Compon. Lett. 29(4), 291–293 (2019)
Chamanian, S., et al.: Implementation of energy-neutral operation on vibration energy harvesting WSN. IEEE Sens. J. 19(8), 3092–3099 (2019)
Velasquez, W.: Sensor network simulator prototype with real-time environmental data monitoring to build smart application. IEEE Access 9, 144530–144539 (2021)
Fredj, N., et al.: AI-based model driven approach for adaptive wireless sensor networks design. Int. J. Inf. Technol. 15(4), 1871–1883 (2023)
Lee, J.-S., Jiang, H.-T.: An extended hierarchical clustering approach to energy-harvesting mobile wireless sensor networks. IEEE Internet Things J. 8(9), 7105–7114 (2020)
Abdul-Qawy Hamed, A.S., et al.: TEMSEP: threshold-oriented and energy-harvesting enabled multilevel SEP protocol for improving energy-efficiency of heterogeneous WSNs. IEEE Access 9, 154975–155002 (2021)
Popli, Sakshi, Rakesh Kumar Jha, and Sanjeev Jain. "A comprehensive survey on Green ICT with 5G-NB-IoT: Towards sustainable planet." Computer Networks 199 (2021): 108433.
Chiti, F., Fantacci, R., Pierucci, L.: A green routing protocol with wireless power transfer for internet of things. J. Sens. Actuator Netw. 10(1), 6 (2021)
Nasir, A., et al.: EHA-BeeSensor: hybrid protocol for energy proficient routing in IoT network using swarm intelligence. In: 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, (2021)
Boursianis, A.D., et al.: Smart irrigation system for precision agriculture—the AREThOU5A IoT platform. IEEE Sens. J. 21(16), 17539–17547 (2020)
Riker, A., Marilia C., and Edmundo M.: Neutral operation of the minimum energy node in energy-harvesting environments. In: 2017 IEEE symposium on computers and communications (ISCC). IEEE, (2017)
Hu, J., et al.: An adaptive energy efficient MAC protocol for RF energy harvesting WBANs. IEEE Trans. Commun. 71(1), 473–484 (2022)
Alsukayti, I.S., Singh, A.: A lightweight scheme for mitigating RPL version number attacks in IoT networks. IEEE Access 10, 111115–111133 (2022)