IJPSOEM

Power and Energy Optimized Approach towards SustainableMobile Adhoc Networks and IoT

---

---

Abstract

Energy-efficient routing: Routing algorithms can be designed to minimize the power consumption of the devices by choosing routes that minimize the number of hops or the distance between the devices. This can be done by using metrics such as the remaining energy of the devices or the signal strength of the wireless

Recommended Citation

1.  Krishnamoorthy, V. K., Izonin, I., Subramanian, S., Shandilya, S. K., Velayutham, S., Munichamy, T. R., & Havryliuk, M. (2023). Energy Saving Optimization TechniqueBased Routing Protocol in Mobile Ad-Hoc Network with IoT Environment. Energies, 16(3), 1385.
2. Srinivasulu, M., Shivamurthy, G., & Venkataramana, B. (2023). Quality of service aware energy efficient multipath routing protocol for internet of things using hybrid optimization algorithm. Multimedia Tools and Applications, 1-30.
3. atnaparkhi, A., Purandare, R., Ghule, G., Habbu, S., Bang,A., & Deshpande, P. (2023). PDR Analysis and Network Optimization of Routing Protocols for Edge Networks. In Intelligent Cyber Physical Systems and Internet of Things: ICoICI 2022 (pp. 265-273). Cham: Springer International Publishing.
4. Banerjee, B., & Neogy, S. (2023, January). An efficient swarm based technique for securing MANET transmission. In 24th International Conference on Distributed Computing and Networking (pp. 300-304).
5. Ali, M., Qureshi, K. N., Newe, T., Aman, K., Ibrahim, A. O., Almujaly, M., & Nagmeldin, W. (2023). Decision-Based Routing for Unmanned Aerial Vehicles and Internet of Things Networks. Applied Sciences, 13(4), 2131.
6. Abbood, Z. A., Atilla, D. Ç., & Aydin, C. (2023). Enhancement of the performance of MANET using machine learning approach based on SDNs. Optik, 272, 170268.
7. Chincoli M and Liotta A 2017 In-node cognitive power control in Wireless Sensor Networks 2017 IEEE