2017
DOI: 10.1007/978-3-319-61300-0_5
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A Service-Based Approach for the Uniform Access of Wireless Sensor Networks and Custom Application Tasks Running on Sensor Nodes

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Cited by 5 publications
(2 citation statements)
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“…Most IoT service-oriented middleware solutions in the literature are designed to provision dynamic and unknown network topology [15]. In this area of research, one stream of work focuses on abstracting IoT objects and turning them into services of the network (e.g., [16]), other researchers focus on information/data abstractions and their integration with services (e.g., [17]). However, a prevalent theme in the literature is addressing the challenge of the unknown topology via the use of service discovery techniques, commonly based on the classical service/resource approach of the Internet, pervasive environments and WSN, e.g., WS-discovery for Web Service or a RESTful discovery for RESTful services [18].…”
Section: Soa For Iot In the Literaturementioning
confidence: 99%
“…Most IoT service-oriented middleware solutions in the literature are designed to provision dynamic and unknown network topology [15]. In this area of research, one stream of work focuses on abstracting IoT objects and turning them into services of the network (e.g., [16]), other researchers focus on information/data abstractions and their integration with services (e.g., [17]). However, a prevalent theme in the literature is addressing the challenge of the unknown topology via the use of service discovery techniques, commonly based on the classical service/resource approach of the Internet, pervasive environments and WSN, e.g., WS-discovery for Web Service or a RESTful discovery for RESTful services [18].…”
Section: Soa For Iot In the Literaturementioning
confidence: 99%
“…In the latest years, the agri-food sector has been showing an increasing interest in smart monitoring and modelling systems powered by ICT (Information and Communications Technology) and IoT (Internet of Things), since their application has set the premise for an efficient, sustainable and traceable management of agricultural systems, with positive impact on the market also due to the risen awareness of the consumers. Applications concerning the monitoring of field and indoor environmental conditions (for plant growing, livestock raising and food processing structures) represent a crucial part of those systems [28,29]. Moreover, spectral vegetation indices based on remote and proximal sensing have been widely used to estimate and analyze the vigor and phenology of plants, their reaction to stress conditions, degree in vegetation greenness, and variation of canopy chlorophyll content [30,31].…”
Section: Introductionmentioning
confidence: 99%