2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS) 2018
DOI: 10.1109/eeccis.2018.8692892
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RSSI Comparison of ESP8266 Modules

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Cited by 18 publications
(3 citation statements)
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“…It is not exploring the actual hardware limit of the communication module, the wireless antenna Wi-Fi ESP8266. Explorations on RSSI variations using ESP8266 modules have used distances of up to 140m between a station and an AP and still reach acceptable values for RSSI [15]. These experiments were performed outdoors whereas the ones here were indoors, but they give an idea of the distances that could be reached if the limits of the hardware were explored.…”
Section: Discussionmentioning
confidence: 99%
“…It is not exploring the actual hardware limit of the communication module, the wireless antenna Wi-Fi ESP8266. Explorations on RSSI variations using ESP8266 modules have used distances of up to 140m between a station and an AP and still reach acceptable values for RSSI [15]. These experiments were performed outdoors whereas the ones here were indoors, but they give an idea of the distances that could be reached if the limits of the hardware were explored.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, it was chosen to use AWS services as an initial free tool, since by creating an account you can access a free VPS for one year. This made it possible to save costs and work in a real online environment from the beginning of the project [13]. Also, created the account will have the instance or vps with the Ubuntu Server 18 operating system as shown in Fig.…”
Section: A Acquisition and Configuration Of Amazon (Amazon Virtual Pr...mentioning
confidence: 99%
“…The main parameters required for organizing an autonomous network are: RSSI; the preferred parent node parameter; the routing table; network propagation restriction; point tracking in the network; the loopback exclusion parameter; and the connection recovery algorithm. [7][8]. Thus, the system needs to analyze a large amount of data about the state of the network and constantly access the network part of the chip, which is the most energy-consuming.…”
Section: Esp-meshmentioning
confidence: 99%