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Developing a New Load-balanced Clustering Approach for RPL Using Cooja in IoT

Developing a New Load-balanced Clustering Approach for RPL Using Cooja in IoT

A new Load-balanced Clustering Method for RPL - Cooja Project

Research Area:

IoT

Research Topic:

Contiki Cooja Simulator Projects in RPL Routing Protocol

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

Software Requirements:  Vmware workstation player, Instant Contiki-3.0

Aim and Objectives:  This project aims to increase network lifetime by implementing a novel load-balancing method based on cluster ranking.

Contributions:  
1. Optimizing energy consumption and load balancing in the RPL protocol.
2. Calculating the number of children using a new method to achieve load balancing to form a DODAG.

Performance Evaluation:  The simulation results are investigated in two scenarios with mobile and fixed nodes. In all simulation scenarios with 20, 40 and 60 nodes;
Performance Metrics:
 •  PDR
 •  Energy Consumption
 •  Throughput
 •  Delay
 •  Control Packet Overhead
 •  CPU Energy Consumption
 •  Execution Time