Connecting mobile things to global sensor network middleware using system-generated wrappers

Perera, Charith; Zaslavsky, Arkady; Christen, Peter; Salehi, Ali; Georgakopoulos, Dimitrios

doi:10.1145/2258056.2258062

Cited by 14 publications

(7 citation statements)

References 15 publications

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“…sensors' capabilities, data structures they produce, hardware/driver level configuration details). Recent developments such as Transducer Electronic Data Sheet (TEDS) [221], Open Geospatial Consortium (OGC) Sensor Web Enablement related standards such as Sensor Markup Languages (SensorML) [133], sensor ontologies [143], and immature but promising efforts such as Sensor Device Definitions [224] show future directions to carry out the research work further, in order to tackle this challenge.…”

Section: Challenges and Future Research Directionsmentioning

confidence: 99%

Context Aware Computing for The Internet of Things: A Survey

Perera

Zaslavsky

Christen

et al. 2014

IEEE Commun. Surv. Tutorials

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2,307

1,354

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As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201

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Section: Challenges and Future Research Directionsmentioning

confidence: 99%

Context Aware Computing for The Internet of Things: A Survey

Perera

Zaslavsky

Christen

et al. 2014

IEEE Commun. Surv. Tutorials

Self Cite

2,307

1,354

View full text Add to dashboard Cite

show abstract

“…An extension of the global sensor network (GSN) middleware, a middleware which facilitates the deployment and programming of sensor networks, is proposed in Perera et al 16 GSN provides a connection with a microcontroller and sensors which is defined semantically through virtual sensors. Virtual sensors abstract the implementation details from accessing sensors through the semantic definition of data stream.…”

Section: Related Workmentioning

confidence: 99%

Run-time deployment and management of CoAP resources for the Internet of Things

Martin

Díáz

Rubio

2017

International Journal of Distributed Sensor Networks

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The continuous growth of the Internet of Things in recent years has meant it is increasingly more present, as Internet of Things scenarios such as smart homes and smart cities become part of our everyday lives. The Internet of Things devices involved can be divided into two categories in most Internet of Things scenarios. The devices can constitute a black box with specific sensors which complicates their configuration, for example, wearable products. Other Internet of Things devices can be composed through configurable microcontrollers, enabling customizable environments to be designed. However, the necessary tools and knowledge for programming and configuring microcontrollers are not accessible to everyone. This article proposes a run-time deployment and management system through the Constrained Application Protocol that bridges the gap between end users and customizable environments. With our system, end users can incorporate new sensors or actuators in their installed microcontroller without having to access and program the microcontroller board. Rather, they can manage the resources of the Constrained Application Protocol servers through an accessible and transparent Web user interface.

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“…For example, GSN uses MySQL to manage and store the data streams or OpenIot provides subscription services just in server side [55]. Moreover, there are some problems to integrate GSN in light devices within other platforms or languages [56]. Our approach aims to focus the initial information processing in mobile and ambient computers, providing more scalable solutions without persistence of databases.…”

Section: Approach For Distributing and Processing Of Heterogenous Datmentioning

confidence: 99%

Subscribing to fuzzy temporal aggregation of heterogeneous sensor streams in real‐time distributed environments

Medina

Martínez

Espinilla

2016

Int J Communication

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Because of the deployment of heterogeneous sensors in intelligent environments, the fusion and information processing means an arduous and complex process. The data fusion of sensors and the design of processing information in real time are key aspects in order to generate feasible solutions. In order to shed light on this context, we present an approach for distributing and processing heterogeneous data based on a representation with fuzzy linguistic terms. In this way, the heterogeneous data from sensor streams are computed and summarized based on fuzzy temporal aggregations ubiquitously within mobile and ambient devices. This innovative approach provides an intuitive linguistic representation of mobile and ambient sensors as well as implies a drastic reduction of the communication burden. In order to provide high scalability in network communication, the information from sensor is spread under the publication-subscription paradigm, where subscribers receive asynchronous events when the aggregation degree of the linguistic terms overcomes a threshold (alpha-cut). Finally, in order to illustrate the usefulness and effectiveness of our proposal, we present the results of the fuzzy temporal aggregation of sensor streams with alpha-cut subscriptions in a case study where an inhabitants performs an daily activities in an intelligent environment. . 2017; :e32 . 30 38 1 of 17 2 J. MEDINA-QUERO, L. MARTINEZ AND M. ESPINILLA(Z-Wave, ZigBee, and bluetooth) in light sensors, or WLAN (6LoWPAN) protocols in vision or audio sensors. Because of this diversity, a second key aspect is the models and structures of knowledge representation. They are required by information processing of sensors to generate richer and higher-level information [7]. Several approaches have been proposed to manage these issues, in which the efforts have been focused on providing general or ad hoc models. In respect of the standard structural models, it is noteworthy SensorML [8], developed by Open Geospatial Consortium that includes geolocation or discovering by means of XML schema. Concerning the semantic annotating for sensors, it is relevant the W3C Semantic Sensor Networks specifications [9, 10]. On data modeling, the development of ontologies have been adapted to (i) requirements of a particular domains [11][12][13][14][15] and (ii) general models to provide scientist interoperability [16] and enterprise interoperability [17].Furthermore, it is essential to consider a third key aspect that is the distributed information processing of sensors. The adequate distribution of services in ambient environments is crucial to provide sensitivity to real time [18] when the information processing is distributed in different central processing units [19,20]. In this area, the middleware highlights as an infrastructure, in which the sensor streams from ambient and mobile devices are connected by remote services in distributed environments. Specifically, the Publish-Subscribe paradigm has been demonstrated to be adequate for IoT [21], where subscribers receiv...

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Connecting mobile things to global sensor network middleware using system-generated wrappers

Cited by 14 publications

References 15 publications

Context Aware Computing for The Internet of Things: A Survey

Context Aware Computing for The Internet of Things: A Survey

Run-time deployment and management of CoAP resources for the Internet of Things

Subscribing to fuzzy temporal aggregation of heterogeneous sensor streams in real‐time distributed environments

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