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Design a Laplacian Energy for Stable Path Selection During Link Failures by Using RPL in an IoT Network

Design a Laplacian Energy for Stable Path Selection During Link Failures by Using RPL in an IoT Network

Cooja Project for RPL Powered by Laplacian Energy for Stable Path Selection During Link Failures in IoT

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:  
To develop a Laplacian Energy project for choosing a stable path during link failure using RPL in an IoT network using the Contiki Cooja simulator. 

Contribution:  
1. This paper investigates in detail the behavior of RPL-s Expected Transmit Count (ETX)-based path selection for longer routes and the impact of node density and network link or node failures. 
2. Laplacian energy-based path selection is proposed to enhance RPL by introducing additional neighbor connectivity information into the path selection process to provide stable paths.

Performance Evalution:  
The simulation experiments were performed with one root node, and 50 randomly placed client nodes. The sink node is a sender for the downward traffic, and all client nodes act as recipients.
Performance Metrics:
 •  Packet Reception Ratio
 •  PDR
 •  Energy Consumption
 •  Throughput
 •  Latency
 •  Control Packet Overhead
 •  Execution Time
 •  CPU Energy Consumption