Resumo

GALICIA-REYES, Jorge Iván  e  GOMEZ-RAMIREZ, Emmanuel. Development of a 3D simulation bed for WSN in urban area of Mexico. Ing. invest. y tecnol. [online]. 2022, vol.23, n.1, e1890.  Epub 02-Maio-2022. ISSN 2594-0732.  https://doi.org/10.22201/fi.25940732e.2022.23.1.004.

Working with Wireless Sensor Networks (WSN) in urban areas is a complicated task to perform, where various factors must be taken into account, due to the very nature of the environment. This is where analytical tools such as simulators play an important role for the success of networks. The objective of this work is to have a 3D virtual environment for WSN simulation that is reliable, scalable, modular and robust that allows certainty during network design. This paper presents the development of a 3D environment of the city of Torreón, using the discrete event simulator OMNeT++, with INET framework tools. The 3D simulation bed comprises a 1 km2 section of physical objects such as buildings and vegetation, the Torreón city map and elevation data from the Shuttle Radar Topography Mission (SRTM). Two comparative cases are presented between simulations and WSN data deployed in the city, obtaining the efficiency of the network and the Received Signal Strength Indicator (RSSI), at different distances between nodes. The first case study corresponds to the IEEE 802.15.4 standard at distances of 25, 50 and 100 m, and the second case to the Texas Instruments Legacy Long Range propetary mode at 90, 135 and 200 m. The results show an agreement of 92 % and 95 % on average respectively in received packets between simulated data and those collected with the WSN. As for the RSSI, it shows a behavior according to expectations, weakening at greater distances. The 3D simulation bed is a reliable tool to simulate networks with different levels of complexity and scale, it facilitates having visual references and allows understanding the behavior of the WSN to be designed, serving as support in the efforts for air quality monitoring that exist in the region.

Palavras-chave : WSN; OMNeT++; INET framework; OpenStreetMap; OsgEarth; SRTM; 3D simulation.

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