Software to obtain a statistical propagation model in real time

• Published in: Revista Logos ciencia & tecnología Vol. 12; no. 3; p. 128
• Main Authors: Herrera Rubio, Jorge Enrique, Moreno Villamizar, José Yecid, Rolón Rodríguez, Blanca Mery
• Format: Journal Article
• Language: English
• Published: Bogota Dirección Nacional de Escuelas de la Policía Nacional de Colombia 01.09.2020
• Subjects: Access to information; Algorithms; Attenuation; Cellular communication; Data analysis; Design; Electronic devices; Interface cards; Measuring instruments; Monitoring; Network interface cards; Network latency; Performance evaluation; Propagation; Real time; Software; Spectrum analysers; Spread spectrum; Statistical analysis; Statistical methods; TCP/IP (protocol); Wireless networks
• ISSN: 2145-549X; 2422-4200
• DOI: 10.22335/rlct.v12i3.1266

The proposal of Chen and Zhan (2017) allows a spectrum monitoring system to use a real time application that can find the RSSI intensity of the radio bases by means of the positioning algorithm with the help of statistical methods of maximum probability (Yaghoubi et al., 2014), as is the case with mobile cellular networks, spectrum measurement devices are classified into three categories: (a) spectrum analysers, (b) test drivers and (c) instruments dedicated only to cellular technology; for this purpose many monitoring stations require to know the input power in the receiving equipment from the measurement results as they show it (Salvadè et al., 2004). For the study of Wireless Network coverage (WLAN) there are different positioning techniques according to the classification made by Yassin and Rachid (2015) including the Cell-ID, time, RSSI and angle; for the particular case being studied a system characterization was made by means of the Cell-ID method in order to identify the power level of the nearest access point, and the RSSI in order to quantify the real power of a received wireless signal, which is subject to losses in free space and phenomena such as attenuation, reflection, diffraction and dispersion according to (Kochláň et al., 2014). According to Neidhardt et al., (2013) there are crowdsourcing Android applications available which measure the performance of the network under the parameters of received power, latency, and performance, as well as determining a mathematical modelling of the measurements in place for frequencies in 2.4 GHz; however, they do not perform real-time processing. With the use of an internal or external wireless device working on the 2.4 GHz frequency, the spectrum scan is performed to capture the 802.11 standard frames by means of the computer; for this, the card is established in monitor mode using the physical interface to initiate the capture and administration of the native packages with the help of the Scapy application according to Zhou, Jacobsson, Uijterwaal, and Mieghem (2010) and the Network Driver Interface Specification (NDIS) controller that performs the driver function in the network interface card (NIC), enabling TCP / IP protocols (Rosati, 2014).