Geographic Location Based Dynamic and Opportunistic RPL for Distributed Networks

We propose a Geographic location-based Dynamic Opportunistic routing protocol for point-to-point communication, whose algorithm has been extensively simulated within the Contiki Cooja environment

Manali Chakraborty; Alvise Spano; Agostino Cortesi

2019

Scholarcy highlights

  • We propose a Geographic location-based Dynamic Opportunistic routing protocol for point-to-point communication, whose algorithm has been extensively simulated within the Contiki Cooja environment
  • As a testbed for the proposed solution, we evaluated the scenario of an innovative 3D printing system that uses IIoT technologies, such as sensors installed within artifacts collecting data during the lifetime of the object in the environmental context for which it is intended
  • Along with the rapid advancement of Internet of Things, IPv6 becomes an obvious choice for implementing distributed networks
  • In this paper we have considered a scenario where IoT based network is used to collect information using sensors, placed on 3D artifacts designed by the 3D printers
  • The algorithm is parametric over the increment and the width of the rotating angle seeking for such candidate: in our tests we used 10â—¦increments within a 180â—¦maximum span
  • Future work may focus on making the probability constraint in the condition of the major if statement aware of number and density of neighbors

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