A Scalable, Research Oriented, Generic, Sensor Data Platform

Rafferty, Joseph; Synnott, Jonathan; Nugent, Chris; Ennis, Andrew; Catherwood, Philip A.; McChesney, Ian; Cleland, Ian; McClean, Sally

doi:10.1109/access.2018.2852656

Cited by 22 publications

(13 citation statements)

References 30 publications

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“…Mobility is one of the key expectations of an IoT network (Al-Fuqaha et al 2015), whereby users of the network can dynamically move between applications while the device onboarding and identification happens seamlessly in the background. Global addressing, however, is a difficulty in IoT (Rafferty et al 2018), given that manufacturers do not co-ordinate to provide globally unique identifiers for all IoT devices. This means that the responsibility of assigning unique identification resides within the IoT network itself.…”

Section: Communication and Network Reliabilitymentioning

confidence: 99%

IoT reliability: a review leading to 5 key research directions

Moore¹,

Nugent²,

Zhang³

et al. 2020

CCF Trans. Pervasive Comp. Interact.

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The Internet of Things (IoT) is rapidly changing the way in which we engage with technology on a daily basis. The IoT paradigm enables low-resource devices to intercommunicate in a fully flexible and pervasive manner, and the data from these devices is used for decision-making in critical applications such as; traffic infrastructure, health-care and home security, to name but a few. Due to the scarce resources available in these IoT devices, being able to quantify the reliability of them is a critical function. This report presents a detailed evolution of the area of reliability measurement, followed by an in-depth review of the state-of-the-art for quantification of reliability in the IoT, revealing the many challenges associated with this task. From this in-depth review, a set of key research directions for IoT reliability is determined. Despite the critical nature of the research area, at this current moment, this study is the first detailed review available in the area of assessing IoT reliability.

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Section: Communication and Network Reliabilitymentioning

confidence: 99%

IoT reliability: a review leading to 5 key research directions

Moore¹,

Nugent²,

Zhang³

et al. 2020

CCF Trans. Pervasive Comp. Interact.

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is, however, beneficial to utilize a framework that includes a common protocol for data collection, a common format for data exchange, and a data repository and related tools to underpin research within the domain of activity recognition. For this reason, the UJAmI SmartLab is moving towards the deployment of a common middleware platform referred to as SensorCentral [18] that is compatible with an open data format referred to as the Open Data Initiative (ODI) [19].…”

Section: Ujami Smart Lab Of the University Of Jaénmentioning

confidence: 99%

UCAmI Cup. Analyzing the UJA Human Activity Recognition Dataset of Activities of Daily Living

2018

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Many real-world applications, which are focused on addressing the needs of a human, require information pertaining to the activities being performed. The UCAmI Cup is an event held within the context of the International Conference on Ubiquitous Computing and Ambient Intelligence, where delegates are given the opportunity to use their tools and techniques to analyse a previously unseen human activity recognition dataset and to compare their results with others working in the same domain. In this paper, the human activity recognition dataset used relates to activities of daily living generated in the UJAmI Smart Lab, University of Jaén. The dataset chosen for the first edition of the UCAmI Cup represents 246 activities performed over a period of ten days carried out by a single inhabitant. The dataset includes four data sources: (i) event streams from 30 binary sensors, (ii) intelligent floor location data, (iii) proximity data between a smart watch worn by the inhabitant and 15 Bluetooth Low Energy beacons and (iv) acceleration of the smart watch. In this first edition of the UCAmI Cup, 26 participants from 10 different countries contacted the organizers to obtain the dataset.‬‬‬‬‬

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“…Central to this architecture is the SensorCentral big data platform, which stores and manages data relayed from the sensor listeners in a storage engine consisting of a time series database and a document-oriented database. The architecture of this platform is presented in Figure 4, this is reproduced from [38] with permission.…”

Section: Architecturementioning

confidence: 99%

“…The general architecture of the SensorCentral component of the architecture. This is this is reproduced from[38] with permission.…”

mentioning

confidence: 99%

Safe Beacon: A Bluetooth Based Solution to Monitor Egress of Dementia Sufferers within a Residential Setting

et al. 2018

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The global population is ageing, as a consequence of this there will be a greater incidence of ageing related illnesses which cause cognitive impairment–such as Alzheimer’s disease. Within residential care homes, such cognitive impairment can lead to wandering of individuals beyond the boundaries of safety provided. This wandering, particularly in urban areas can be life threatening. This study introduces a novel solution to detect, and alert caregivers of, egress of at-risk inhabitants of a care home. This solution operates through a combination of wearable Bluetooth beacons and beam-formed listening devices. In an evaluation process involving 275 egress events, this solution proved to offer accurate operation with no incidence of false positives. Notably, this solution has been deployed within a real residential care home environment for over 12 months. Proposed future work discusses improvements to this solution.

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A Scalable, Research Oriented, Generic, Sensor Data Platform

Cited by 22 publications

References 30 publications

IoT reliability: a review leading to 5 key research directions

IoT reliability: a review leading to 5 key research directions

UCAmI Cup. Analyzing the UJA Human Activity Recognition Dataset of Activities of Daily Living

Safe Beacon: A Bluetooth Based Solution to Monitor Egress of Dementia Sufferers within a Residential Setting

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