Reference Paper:  A Novel RPL Algorithm Based on Chaotic Genetic Algorithm-[2018]

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 creates a novel RPL algorithm according to a chaotic genetic algorithm in IoT using the contiki-cooja simulator.

Contribution:  
1. This project uses a chaotic genetic algorithm to determine weighting factors of routing metrics in composition metrics to comprehensively evaluate candidate parents (neighbors) when selecting preferred parents.
2. A new holistic objective function is proposed. This objective function can provide a better description of the optimal routes to destination nodes and a more comprehensive evaluation of candidate parents when selecting preferred parents.
3. A new method for calculating the rank values of nodes is proposed. The rank values construct the network topologies and select the preferred parent (the next hop).

Performance Evalution:  
This project conducts extensive simulation experiments under different network sizes (25 and 50 nodes) using the contiki-cooja simulator.
Performance Metrics:
 •  PDR
 •  Hop count
 •  Weighting factors
 •  Energy Consumption
 •  Throughput
 •  Delay
 •  Control Packet Overhead
 •  Execution Time
 •  CPU Energy Consumption