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Design and Enhance the Performance of New 6G and IoE-based Healthcare Monitoring Systems Using Multiple RPL Instances in IoT

Design and Enhance the Performance of New 6G and IoE-based Healthcare Monitoring Systems Using Multiple RPL Instances in IoT

Cooja Project to Enhance the Performance of New 6G and IoE-based Healthcare Monitoring Systems Using Multiple RPL Instances

Research Area:

IOT

Research Topics:

Contiki Cooja Simulator Projects in RPL Routing Protocol

Tools Languages:  Contiki-Cooja / Contiki NG simulator, Front End: Java, Back End: C

Software Requirement:  Vmware workstation player, Instant Contiki-3.0

Aim and Objectives:  
This project aims to design and enhance the performance of new 6G and IoE-based healthcare monitoring systems using multiple RPL Instances in IoT with a contiki-cooja simulator.

Contribution:  
1. The main contribution of this paper is to employ multiple RPL instances for enhancing the performance of healthcare applications.
2. Evaluate the performance of their proposed approach using the Cooja simulator in terms of two key routing performance metrics: average Packet Delivery Ratio (PDR) and average latency.

Performance Evalution:  
The performance of the proposed approach in this project is evaluated using the Cooja simulator under the Contiki OS. It is evaluated using various network sizes, such as 30 and 60-node scenarios.
Performance Metrics:
 •  PDR
 •  Energy Consumption
 •  Throughput
 •  Latency
 •  Control Packet Overhead
 •  Execution Time
 •  CPU Energy Consumption