Author
Listed:
- Vinoth Kumar Krishnamoorthy
(Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bengaluru 560103, India)
- Ivan Izonin
(Department of Artificial Intelligence, Lviv Polytechnic National University, 79013 Lviv, Ukraine)
- Sugumaran Subramanian
(Department of Electronics and Communication Engineering, Sreenivasa Institute of Technology and Management Studies, Chittoor 517127, India)
- Shishir Kumar Shandilya
(School of Computing Science and Engineering, VIT Bhopal University, Bhopal 466114, India)
- Sivasankaran Velayutham
(School of Electrical and Electronics Engineering, VIT Bhopal University, Bhopal 466114, India)
- Thillai Rani Munichamy
(Department of Electronics and Communication Engineering, Sri Krishna College of Technology, Coimbatore 641042, India)
- Myroslav Havryliuk
(Department of Artificial Intelligence, Lviv Polytechnic National University, 79013 Lviv, Ukraine)
Abstract
The Mobile Ad-hoc Network is a self-configuring decentralized network, where the network topology is dynamically modifiable. The IoT (Internet of Things) based Wireless Sensor Network contains more sensors and shares information over the Internet to a cloud server. However, the IoT-based wireless sensor network channel has moderate security is poor compared to MANET and packet loss is increased due to attackers. In IoT, all the sensors forward the detected data frequently to the internet gateway, so the energy saving in the network is low compared to MANET. In this work, the smart environment of IoT, Wireless Sensor Networks (WSN) and MANET make a great heterogeneous network in IT Technology; the combination of this heterogeneous network has new challenging issues. In this heterogeneous network, MANET provides a trusted route between the sensor to gateway nodes into the IoT environment using Energy Saving Optimization Techniques [MANET-ESO in IoT]. It saves energy for each node and reduces the economic level. The results of the ns-3 simulation show that the proposed method provides better results in Alive node counts, residual Energy, throughput, packet delivery ratio and routing overhead.
Suggested Citation
Vinoth Kumar Krishnamoorthy & Ivan Izonin & Sugumaran Subramanian & Shishir Kumar Shandilya & Sivasankaran Velayutham & Thillai Rani Munichamy & Myroslav Havryliuk, 2023.
"Energy Saving Optimization Technique-Based Routing Protocol in Mobile Ad-Hoc Network with IoT Environment,"
Energies, MDPI, vol. 16(3), pages 1-16, January.
Handle:
RePEc:gam:jeners:v:16:y:2023:i:3:p:1385-:d:1051351
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