Outdoor localization technique using active RFID technology aimed for security and disaster management applications

Vojtěch, Lukáš; Nerada, Marek; Hrad, Jaromír; Bortel, Radoslav

doi:10.1109/carpathiancc.2015.7145148

Cited by 13 publications

(11 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Complete list of surveyed papers, with scenario code and application classification Paper Application Scenario Paper Application Scenario [18] Smart agriculture 0000000 [19] Smart home 1032102A [20] Smart home 0000103 [21] Smart home 1101133 [22] Smart home 0011010 [23] Smart home 1132020 [24] Smart building 0020000 [25] Smart building 1132110 [26] Smart agriculture 0020000A [27] Smart home 1232120 [28] Water management 0021000 [29] Disaster management 1301210 [30] Smart home 0021000A [31] Smart vehicle 1332300 [32] Energy monitoring 0030000 [33] Playful furniture 2012010 [34] Energy monitoring 0031000 [35] Smart agriculture 2023200 [36] Smart home 0101003 [37] Smart city 2030103 [38] Playful furniture 0101123 [39] Smart city 2032013 [40] Smart healthcare 0130030 [41] Smart healthcare 2033020 [42] Smart healthcare 0131113 [43] Robot movement 2130033 [44] Learning device 0230023 [45] Smart healthcare 2133030 [46] Smart healthcare 0231020 [47] Smart building 3001200 [48] Smart healthcare 0312020 [49] Smart home 3022103 [50] Smart healthcare 0321210 [51] Smart city 3032100 [52] Smart healthcare 0322310 [53] Robot movement 3032200 [54] Smart healthcare 0331020 [55] Smart security 3032203 [56] Smart home 1002013...…”

Section: Table 13mentioning

confidence: 99%

An IoT sensor and scenario survey for data researchers

2019

View full text Add to dashboard Cite

This work surveys Internet of Things (IoT) experimental research published since 2015. We summarize the IoT state of the art during the last 2 years and extract important data that we apply to enhance the analysis of IoT solutions. The IoT scenario presents a promising universe to data analysis. This raises a number of questions: which are its most popular applications? What is the definition of scale in an IoT application? What sensors are more often used and for what IoT applications? How can a researcher compare IoT scenarios? To investigate these concerns, this survey analyzes 2 years' worth of contributions made in three main scientific publishers. We focus on IoT experiments that were actually implemented using real equipment within one or more scenarios. Our first contribution is the classification of those IoT scenarios into seven main aspects. Each analyzed research study presents a specific configuration of a scenario's variables and sensors. Our second main contribution takes place after the scenario mapping phase. We identify as many as 19 common categories of data types in use. The interrelation among the scenarios and the data types from sensors should assist data researchers in understanding current IoT dynamics.

show abstract

Section: Table 13mentioning

confidence: 99%

An IoT sensor and scenario survey for data researchers

2019

View full text Add to dashboard Cite

show abstract

“…Radio-Frequency Identification (RFID) has recently drawn the attention of the Earth Sciences community [1], notably for environment remote sensing at low cost. RFID tag localization has been a growing research topic in the past years [2], with multiple localization methods [3], [4] and applications [5], [6]. Apart from solely localization-based monitoring, RFID technology is foreseen as a promising way to perform low-cost and spatially diverse environmental sensing.…”

Section: Introductionmentioning

confidence: 99%

RFID Landslide Monitoring: Long-Term Outdoor Signal Processing and Phase Unwrapping

Charléty

Breton²,

Baillet

et al. 2023

IEEE J. Radio Freq. Identif.

View full text Add to dashboard Cite

Localization of passive Radio-Frequency Identification (RFID) tags has been used to monitor landslide surface displacement since 5 years. This method, applied on slow displacements lower than 1cm per day, allows a high spatiotemporal resolution at a relatively low cost. With the feedback of the previous years, this paper proposes to summarize the various challenges encountered with the long-term outdoor RFID localization method, and presents data-processing solutions that were implemented to overcome these challenges. We propose a complex-smoothing unwrapping algorithm, a multi-frequency merging operation, as well as multi-tag and multi-antenna phase combining method. The concept of an unwrapping reference guide is presented and applied with groups of tags showing coherent displacements, or with absolute reference measurements. These approaches allow a higher data availability up to 38% for one site over multiple years, and a better phase unwrapping. Earth surface displacement monitoring with RFID proves to be a robust and accurate solution, with four equipped sites across France and Switzerland.

show abstract

Section: Introductionmentioning

confidence: 99%

Long-term Monitoring of Soil Surface Deformation with RFID

Charléty

Breton²,

Baillet

et al. 2022

2022 IEEE 12th International Conference on RFID Technology and Applications (RFID-TA)

View full text Add to dashboard Cite

Passive Radio-Frequency Identification (RFID) has been used to monitor landslide displacement since approximately 5 years. This method allows soil displacement estimation at a high spatio-temporal resolution, and at a relatively low cost. In perspective of the previous years, this paper proposes to summarize the various challenges encountered with the longterm outdoor RFID localization method, and presents solutions that were implemented to overcome these challenges. Finally, displacement results from three monitored sites are shown in order to validate the implemented solutions.

show abstract

Outdoor localization technique using active RFID technology aimed for security and disaster management applications

Cited by 13 publications

References 4 publications

An IoT sensor and scenario survey for data researchers

An IoT sensor and scenario survey for data researchers

RFID Landslide Monitoring: Long-Term Outdoor Signal Processing and Phase Unwrapping

Long-term Monitoring of Soil Surface Deformation with RFID

Contact Info

Product

Resources

About