Due to the wide variety of uses and the diversity of features required to meet an application, Internet of Things (IoT) technologies are moving forward at a strong pace to meet this demand while at the same time trying to meet the time-to-market of these applications. The characteristics required by applications, such as coverage area, scalability, transmission data rate, and applicability, refer to the Physical and Medium Access Control (MAC) layer designs of protocols. This paper presents a deep study of medium access control (MAC) layer protocols that are used in IoT with a detailed description of such protocols grouped (by short and long distance coverage). For short range coverage protocols, the following are considered: Radio Frequency Identification (RFID), Near Field Communication (NFC), Bluetooth IEEE 802.15.1, Bluetooth Low Energy, IEEE 802.15.4, Wireless Highway Addressable Remote Transducer Protocol (Wireless-HART), Z-Wave, Weightless, and IEEE 802.11 a/b/g/n/ah. For the long range group, Narrow Band IoT (NB-IoT), Long Term Evolution (LTE) CAT-0, LTE CAT-M, LTE CAT-N, Long Range Protocol (LoRa), and SigFox protocols are studied. A comparative study is performed for each group of protocols in order to provide insights and a reference study for IoT applications, considering their characteristics, limitations, and behavior. Open research issues on the topic are also identified.

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Summary Low‐power wide area networks (LP‐WANs) protocols are considered options to meet the requirements of Internet of Things (IoT) solutions that need long‐range communication with low power consumption. Few studies intended to evaluate the performance of the same class of protocols coexisting in the same environment and with mobility support. This paper explores the technical characteristics of Sigfox and long‐range (LoRa) protocols and presents a performance evaluation study considering mobility scenarios. The experiments were performed in real environments. Then, two prototypes for LoRa and Sigfox equipped with Global Positioning System (GPS) were created. Quantitative and qualitative performance metrics were also proposed for this study. The results showed that the coexistence between these protocols has soft impact on the performance presented. Because of the movement, the effects of Doppler, multipath, and signal fading hardly affect the performance of both protocols.

A baseline-corrected second-order derivative procedure and a miniaturized sample preparation based on low-density solvent and ultrasound-assisted liquid-liquid microextraction (LDS-UA-LLME) was combined to provide the simultaneous electroanalysis of three fluoroquinolones (FQ) as emerging contaminants (ECs). The enhanced mathematical processing provided the best separation with an accurate measurement of the overlapping peaks during the simultaneous electro-oxidation of target FQs that were directly dropped on the surface of carbon nanofiber-modified screen-printed electrodes. The adapted LDS-UA-LLME protocol was the key step involved in the sample preparation, which preconcentrate target analytes from diluted tap water samples with an enrichment factor of around 80×, allowing their quantification at trace levels. This combined feature demonstrated the unique application of an electroanalytical technique for the simultaneous electroanalysis of three FQs in spiked tap water samples, with recovery values remarkably close to 100%.

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A procedure based on liquid-liquid extraction (LLE) and phase separation using magnetically stirred salt-induced high-temperature liquid-liquid extraction (PS-MSSI-HT-LLE) was developed to extract and pre-concentrate ciprofloxacin (CIPRO) and enrofloxacin (ENRO) from animal food samples before electroanalysis. Firstly, simple LLE was used to extract the fluoroquinolones (FQs) from animal food samples, in which dilution was performed to reduce interference effects to below a tolerable threshold. Then, adapted PS-MSSI-HT-LLE protocols allowed re-extraction and further pre-concentration of target analytes in the diluted acid samples for simultaneous electrochemical quantification at low concentration levels. To improve the peak separation, in simultaneous detection, a baseline-corrected second-order derivative approach was processed. These approaches allowed quantification of target FQs from animal food samples spiked at levels of 0.80 to 2.00 µmol L in chicken meat, with recovery values always higher than 80.5%, as well as in milk samples spiked at 4.00 µmol L, with recovery values close to 70.0%.