An ANT+ Protocol Based Health Care System

Mehmood, Nadeem Qaisar; Culmone, Rosario

doi:10.1109/waina.2015.45

Cited by 20 publications

(12 citation statements)

References 8 publications

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“…ANT+ is a proprietary protocol that operates on the 2.4 GHz frequency band and has low battery consumption [38]. It was developed by the ANT Alliance interest group and its predecessor is the ANT transmission protocol.…”

Section: Ant+mentioning

confidence: 99%

Wireless Technologies for IoT in Smart Cities

García

Jiménez

Taha

et al. 2018

NPA

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As cities continue to grow, numerous initiatives for Smart Cities are being conducted. The concept of Smart City encompasses several concepts being governance, economy, management, infrastructure, technology and people. This means that a Smart City can have different communication needs. Wireless technologies such as WiFi, ZigBee, Bluetooth, WiMax, 4G or LTE (Long Term Evolution) have presented themselves as solutions to the communication needs of Smart City initiatives. However, as most of them employ unlicensed bands, interference and coexistence problems are increasing. In this paper, the wireless technologies available nowadays for IoT (Internet of Things) in Smart Cities are presented. Our contribution is a review of wireless technologies, their comparison and the problems that difficult coexistence among them. In order to do so, the characteristics and adequacy of wireless technologies to each domain are considered. The problems derived of over-crowded unlicensed spectrum and coexistence difficulties among each technology are discussed as well. Finally, power consumption concerns are addressed. 24 As the initiatives taken to turn a city into a smart city may be varied and have different requirements, employing one unified technology throughout the city may not be efficient. Although wired solutions present a reliable channel to transmit data, the cost of deploying a wired network that connects all devices is extremely high and the result would be considerably inefficient. Wireless technologies have presented themselves as a solution to the rapid growth of devices that are connected to the network as well as the increasing demand of services that allow monitoring cities. IoT is gaining rapid popularity and it is being utilized for transport, health, environment, animal monitoring and smart metering applications [4,5]. Wireless Sensor Networks (WSN) are being employed all over the world as a low-cost and low-energy consuming method to provide a communication mechanism [6]. However, wireless technologies are varied and their utilization should be considered depending on the application. Traffic type, distance, energy consumption or number of nodes are some of the factors that should be considered when deciding how to transmit the gathered data. Moreover, the abuse of wireless technologies may derive in some problems.The majority of the wireless technologies available nowadays employ the 2.4 GHz ISM (Industrial, Scientific and Medical) band. It has not been a great problem until wireless devices started growing at a fast pace. Cable connections between computers and peripherals are being replaced by technologies such as Bluetooth [7]. It is also being employed by home automation systems or telemedicine applications [8]. ZigBee is popular for monitoring systems where a great number of nodes and low energy consumption are required. Services that require interaction with humans are usually utilized with PCs, smartphones or tablets, such as Ambient Assisted Living (AAL) and healthcare systems, and employ WiFi or mo...

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Section: Ant+mentioning

confidence: 99%

Wireless Technologies for IoT in Smart Cities

García

Jiménez

Taha

et al. 2018

NPA

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“…To illustrate the approach through a prototype, we deal with three ANT+ wearable sensor categories, such as heart rate, foot pod and temperature to monitor a patient's body parameters [34,133]. Next we shall rationally observe the temporal modeling perspectives of the ANT+ sensor data and will learn the Mongoose schema based algorithm to evolve the schema during the data integration process.…”

Section: Temporal Modeling For An Ant+ Sensor Use Casementioning

confidence: 99%

“…In remote healthcare long term monitoring operations, based on Body Area Networks (BAN), demand low energy consumption due to limited memory, processing and battery resources [34]. These systems also demand communication and data interoperability among sensor devices [35].…”

Section: Introductionmentioning

confidence: 99%

“…These systems also demand communication and data interoperability among sensor devices [35]. Recently a propriety protocol ANT+ provides these low energy consumption features; and strengthens the goals of IoT through the interoperability of devices based on Machine-to-Machine (M2M) mechanisms, which employs use case specific device profile standards [34,36]. Device interoperability, low energy and miniaturisation features allow the building of large ecosystems, hence enable millions of vendor devices to get integrated and interoperated.…”

Section: Introductionmentioning

confidence: 99%

“…IoT ecosystems want general storage mechanisms having structural flexibility to accept different data formats arriving from millions of sensory objects [37]. The non-relational or NoSQL databases are schema-free [2]; and allow storage of different data formats without prior structural declarations [34,37]. However for the storage we need to investigate the NoSQL models to design and develop [8,22]; besides flexibly preserving the big data timestamped characteristics for the massive real-time data flow during acquisition processes [24].…”

Section: Introductionmentioning

confidence: 99%

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Modeling temporal aspects of sensor data for MongoDB NoSQL database

2017

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Proliferation of structural, semi-structural and no-structural data, has challenged the scalability, flexibility and processability of the traditional relational database management systems (RDBMS). The next generation systems demand horizontal scaling by distributing data over autonomously addable nodes to a running system. For schema flexibility, they also want to process and store different data formats along the sequence factor in the data. NoSQL approaches are solutions to these, hence big data solutions are vital nowadays. But in monitoring scenarios sensors transmit the data continuously over certain intervals of time and temporal factor is the main property of the data. Therefore the key research aspect is to investigate schema flexibility and temporal data integration aspects together. We need to know that: what data modelling should we adopt for a data driven real-time scenario; that we could store the data effectively and evolve the schema accordingly during data integration in NoSQL environments without losing big data advantages. In this paper we explain a middleware based schema model to support the temporal oriented storage of real-time data of ANT+ sensors as hierarchical documents. We explain how to adopt a schema for the data integration by using an algorithm based approach for flexible evolution of the model for a document oriented database, i.e, MongoDB. The proposed model is logical, compact for storage and evolves seamlessly upon new data integration

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