Smart cities: Energy consumption in wireless sensor networks for road trafile modeling using simulator SUMO

In recent years, wireless sensor networks (WSNs) and their applications especially in the urban traffic management, have been the subject of a growing interest on the part of researchers. WSN consist of small nodes with sensing, processing and wireless communications capabilities. A critical issue in wireless sensor networks is to extend the life of the network by preserving the energy of the sensor nodes. This last consume most of his energy during the phase of data transfer. We have previously proposed a promising algorithm which is used to minimize the amount of data transfer in a sensors network, which helps (contributes) to reduce energy consumption. In this paper, we used the SUMO and OpenstreetMap (OSM) tools to analyze urban infrastructure, and simulate urban traffic in a more realistic way. We show how to Simulate traffic using OpenStreetMap-data and SUMO-Simulation for Urban MObility. The simulation results again showed that our proposed algorithm remains an effective technique and confirms our results find previously by the GLD simulator, to reduce the energy consumption of a sensor node.