IoT based traffic congestion control for environmental applications

Abstract

Recently, the demands of the Internet of Things (IoT) in environmental application (e-applications) have been steadily growing. The main idea of the Internet of Things (IoT) is to revolutionize the current Internet by enriching it with a large number of intelligent objects that communicate with each other. Heterogeneous communication technologies are integrated into the Internet to achieve the IoT application. The function of these objects is to collect data from sensors, process it, and communicate it. Therefore, sensors are main features of IoT. The Heterogeneous Wireless sensor network (HWSN) in environmental application (e-applications) is a key technology element of the Internet of Things (IoT), which is considered as the future evolution of the Internet. The integration of HWSNs into IoT makes communication with any type of object possible and opens the gates to a multitude of application areas. We have proposed: LBCMH. After having detailed the functioning of our protocol, we present the realization of the simulations by the NS3 simulator, whose objective is to allow us to evaluate the performances of the proposed protocol by comparing the results with the two protocols: WBCHN and DEACP. We thus take into account several metrics for the performance of evaluation. We were able to show through the simulation results obtained that the objectives have been reached. Povzetek: V prispevku je predstavljena metoda na osnovi IoT za nadzorovanje prometnih zamaškov z namenom varovanja okolja.

Congestion Avoidance in Intelligent Transport Networks Based on WSN-IoT through Controlling Data Rate of Zigbee Protocol by Learning Automata

“…In [11], a method to control the traffic congestion of IoT in environmental applications was presented. The method presented in this article is a multipath clustering and routing protocol based on load balance for heterogeneous WSNs (HWSNs) that can be used in the context of IoT.…”