Smart Device-Machine-To-Machine Approach for Enhancing Communication in MANET Using IoT and Cloud

Authors

  • Erode Dhanapal Kanmani Ruby Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai-600062, Tamil Nadu, India
  • M. Pushpavalli Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam.
  • Aruliah Selvarani Department of Electronics and Communication Engineering, Panimalar Engineering College, Poonamallee, Chennai-600123, Tamil Nadu, India.
  • S. D. Thilagavathy Department of Information Technology, Adhiyamaan College of Engineering Hosur, Tamil Nadu 635109, India
  • Shruti Bhargava Choubey Dean-Innovation, Department of Electronics and Communication Engineering, Sreenidhi Institute of Science & Technology, Hyderabad-501301, Telangana, India.
  • Dondapati Harika Department of Electronics and Communication Engineering, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupati-517102.India.

Keywords:

IoT, MANET, Cloud Computing, Security, CH, LBCH, SD-M2M, CDTR, network security, data transmission rate

Abstract

Mobile Ad Hoc Networks (MANET) are crucial for the next generation of computing in the Internet of Things (IoT). All devices in a MANET can transfer from one location to another in any direction. Data processing and resource management can be implemented in all components by providing cloud services to users in MANET to access smart devices within the IoT framework. However, security is a major challenge for the growth of Cloud Computing (CC). Establishing a secure network connection takes time and effort. Nevertheless, embracing CC includes frequent outages, improper management, lack of resources, interoperability issues, privacy concerns, and reliability problems. Therefore, to solve this problem, they initially selected the Cluster Head (CH) to calculate the parameters of a mobility and energy node using a weighted metric. Furthermore, the Load Balancing Cluster Head (LBCH) algorithm can reduce the delay in sending and receiving packets through CH. In addition, the variation between the communication workload of each mobile node can be assessed. Then, the Velocity of the IoT node can be calculated using the Cloud Data Transfer Rate (CDTR) approach at the base of the cloud-maintained IoT integration. Finally, the proposed technique can detect the new positions using a Smart Device-Machine-To-Machine (SD-M2M) approach and enhance communication network security. Implementing the proposed method can enhance secure communication in MANET's IoT structure systematically and efficiently. Simulation results evaluate the algorithm's performance regarding channel number, throughput, data transmission rate, energy consumption, energy efficiency, network security and packet delivery rate. The proposed method attains a throughput performance of 79% and security performance of 83% in MANET..

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Published

24.03.2024

How to Cite

Kanmani Ruby, E. D. ., Pushpavalli, M., Selvarani, A. ., Thilagavathy, S. D. ., Choubey, S. B. ., & Harika, D. . (2024). Smart Device-Machine-To-Machine Approach for Enhancing Communication in MANET Using IoT and Cloud. International Journal of Intelligent Systems and Applications in Engineering, 12(20s), 846–854. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5310

Issue

Vol. 12 No. 20s (2024)

Section

Research Article

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