IQRF wireless technology utilizing IQMESH protocol

Seflova, Petra; Sulc, Vladimir; Pos, Jiri; Spinar, Rostislav

doi:10.1109/tsp.2012.6256261

Cited by 28 publications

(10 citation statements)

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“…A similar view is taken by the authors of the articles "IQRF Wireless Technology Utilizing IQMESH Protocol" [4], "IQRF Smart Wireless Platform for Home Automation: A Case Study" [2], and "IQMESH implementation in IQRF wireless communication platform" [5], though they express some scepticism about the local character of using this technology.…”

Section: Results Of Multi Criteria Analysis Of the Optionsmentioning

confidence: 74%

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Modern methods of monitoring variables for racehorses

Hart¹,

Hartová²

2017

Engineering for Rural Development

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Abstract. Currently there is a big trend to watch different variables for racing horses. There is great interest to monitor their condition in the race. This monitoring leads to the optimization of the needs of race horeses, which improves their final outputs. It is important to many countless indicators such as temperature, humidity, pressure, heart rate and many other to be monitored. It is therefore necessary to define a simple system for transferring the recorded data. This system must be reliable, flexible and especially efficient. Due to the the need for fast data transfer this technology must be wireless. The basis therefore is to create a so-called "multiple-sensor network". This network must allow for variability and allow mesh communication. The proposed network must then allow forwarding of messages, because each transmitter is also the receiver (repeater function). A survey was conducted on the current applicable technology. Eventually, the IQRF technology has been selected that exactly matches the specified criteria. The IQRF technology operates at a frequency of 868 MHz, which corresponds to the ISM868 band (Industrial, Scientific and Medical). IQRF mesh allows communication and is suitable for distances of tens to hundreds of meters. Its dimensions are small (about 2 cm long, 1 cm wide and 0.25 cm high), allowing seamless integration. It has been found that it is necessary to place the track stationary points. However, it is not necessary to solve the remote transmitter that would send its information which is identified from these stationary points. Because it is mesh communication, each loop element communicates with each other and does not require other transmit interfaces.

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Section: Results Of Multi Criteria Analysis Of the Optionsmentioning

confidence: 74%

“…Although it is used quite frequently, it includes a risk of loss of critical points (repeaters) and possibly even loss of data due to natural interference, which may impact the data paths. In this case it involves the communication between specific network nodes (detectormain unit) [4].…”

Section: Methodsmentioning

confidence: 99%

Modern methods of monitoring variables for racehorses

Hart¹,

Hartová²

2017

Engineering for Rural Development

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“…Figure 1 represents schematically the three possible scenarios regarding the firmware development. applications, several lighter protocols were soon established, sometimes even by the original ZigBee Alliance members [31]. We chose IQRF technology [18] due to its versatility.…”

Section: Overview Of Iqrf Technologymentioning

confidence: 99%

“…End nodes need to know all configuration parameters (i.e., band, channel, transmission bit rate and power and reception level mode) previous to the bonding operation in order to establish the link. The topology of the network will be internally managed by the Coordinator using the IQMESH algorithm [31]. The IQRF technology is able to adapt to a wide range of topologies; the authors only tested the architecture with two topologies: linear (all nodes connected in line, in order to reach a maximum distance) and star (all nodes scattered in order to cover a broad area).…”

Section: Wireless Communication Coordinator: End Nodesmentioning

confidence: 99%

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Building IoT Applications with Raspberry Pi and Low Power IQRF Communication Modules

et al. 2016

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Typical Internet of Things (IoT) applications involve collecting information automatically from diverse geographically-distributed smart sensors and concentrating the information into more powerful computers. The Raspberry Pi platform has become a very interesting choice for IoT applications for several reasons: (1) good computing power/cost ratio; (2) high availability; it has become a de facto hardware standard; and (3) ease of use; it is based on operating systems with a big community of users. In IoT applications, data are frequently carried by means of wireless sensor networks in which energy consumption is a key issue. Energy consumption is especially relevant for smart sensors that are scattered over wide geographical areas and may need to work unattended on batteries for long intervals of time. In this scenario, it is convenient to ease the construction of IoT applications while keeping energy consumption to a minimum at the sensors. This work proposes a possible gateway implementation with specific technologies. It solves the following research question: how to build gateways for IoT applications with Raspberry Pi and low power IQRF communication modules. The following contributions are presented: (1) one architecture for IoT gateways that integrates data from sensor nodes into a higher level application based on low-cost/low-energy technologies; (2) bindings in Java and C that ease the construction of IoT applications; (3) an empirical model that describes the consumption of the communications at the nodes (smart sensors) and allows scaling their batteries; and (4) validation of the proposed energy model at the battery-operated nodes.

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