Simulação de aplicações utilizando protocolos 6LOWPAN, RPL, MQTT e COAP em Smart Cities

Abstract

This work presents the simulation of IoT network protocols, through the installation of the COOJA simulator in Ubuntu 12.04 LTS, emulating the contiki operating system. The simulated environment consists of the composition of urban street blocks with intelligent poles that are capable of transmitting data from a sensor network without temperature, humidity and luminosity using the 6LoWPAN, RPL, MQTT and COAP protocols, representing network addressing, composition of the logical structure of the network and transport of data in an environment of intelligent cities. With the objective of proposing solutions to the cities, the concept of Smart Cities emerged, using Internet technologies of Things or as Internet of Things is known worldwide. The IoT connects a range of different devices, sensors, actuators, software and objects in a way that can interact with each other in the most different regions of the planet using the world wide web. Regarding the possibility of using communication with the most varied mechanisms, the concept of Machine to Machine (M2M) aims at the communication of machine to machine and gains force in the market with the tendency to be a standard in construction of concepts for Smart Cities. The efforts generated for the development of Smart Cities are concentrated in applications for smartphones, and software for equipment in general, but little has been done in relation to the communication between the most diverse objects. Since in using this concept the amount of connected "things" increases and much. It is known that the IPv4 Protocol has long been with the address blocks depleted and the solution is to migrate to IPv6, but when it comes to connecting things, one has to think about the administration of these parameters differently, since the majority of devices are battery powered and placed in remote locations, thus making the security more fragile and the energy efficiency delicate, so it is of utmost importance to study communication protocols to be successful with this type of innovative connection that the planet is having to live in exponential times. The results obtained represent the network composition time, addressing time and data transport characteristics in the wireless sensor network, where quantitative data were treated in qualitative statistical form and the transport data were treated in a qualitative way.