IOT
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:
The main objective of the project is to analyze an intelligent learning automata-based objective function in RPL for IoT using the contiki-cooja simulator.
Contribution:
1. This project proposes a new learning automata-based OF (LA-OF) integrated with each node to examine the environment individually and recursively.
2. This work learns and tunes the link metric (ETX) through interacting with the environment because the routing decision of RPL is based on the link metric.
3. Each network node learns the environment, yields the best link metric, and updates the preferred parent table accordingly.
Performance Evalution:
The evaluation of the proposed scheme is based on simulation results carried out on the Cooja simulator with the operating system Contiki 3.0. The network consists of 1 sink and 20 client nodes.
Performance Metrics:
• Packet Reception Ratio
• PDR
• Energy Consumption
• Throughput
• Delay
• Control Packet Overhead
• Execution Time
• CPU Energy Consumption
