Reference Paper:  A Game Theoretic Optimization of RPL for Mobile Internet of Things Applications-[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:  
The main objective of the project is to implement game theory optimization of RPL for mobile IoT Applications using the contiki-cooja simulator.

Contribution:  
1. The main contribution of the project is to improve and optimize mobility management in RPL using a game theoretic approach.
2. To introduce an adaptive transmission rate that depends on the conditions of the network and the availability of resources.
3. This project uses an RSSI and link quality indicator (LQI) to assess the noise level and mobility conditions at each node.

Performance Evalution:  
The simulation uses a Tmote Sky platform emulated by COOJA and a unit disk graph medium (UDGM) as the wireless channel considering noise levels and interference. Varying packet sizes take the results with a random waypoint mobility model.
Performance Metrics:
 •  PDR
 •  Energy Consumption
 •  Throughput
 •  Delay
 •  Control Packet Overhead
 •  Execution Time
 •  CPU Energy Consumption