Service Oriented Architecture for Wireless Sensor Networks in Agriculture

Sawant, Suryakant; Adinarayana, J.; Durbha, Surya S.; Tripathy, Amiya Kumar; Sudharsan, D.

doi:10.5194/isprsarchives-xxxix-b4-467-2012

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Different architectures are used in agriculture to provide an efficient platform for making decisions on how to manage crop planning. An Open Geospatial Consortium (OGC) with SWE that provides a direction for semantic standardization of sensor networks is presented in [72]. The components of SWE are SensorML (Sensor Model Language) and an SOS (Sensor Observation Service) [72]; it can be interoperable for processing data online [72].…”

Section: Service-oriented Architectures Approaches For Wsnsmentioning

confidence: 99%

Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks

Alshinina

Elleithy

2017

Sensors

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Wireless Sensor Networks (WSNs) have become essential components for a variety of environmental, surveillance, military, traffic control, and healthcare applications. These applications face critical challenges such as communication, security, power consumption, data aggregation, heterogeneities of sensor hardware, and Quality of Service (QoS) issues. Service-Oriented Architecture (SOA) is a software architecture that can be integrated with WSN applications to address those challenges. The SOA middleware bridges the gap between the high-level requirements of different applications and the hardware constraints of WSNs. This survey explores state-of-the-art approaches based on SOA and Service-Oriented Middleware (SOM) architecture that provide solutions for WSN challenges. The categories of this paper are based on approaches of SOA with and without middleware for WSNs. Additionally, features of SOA and middleware architectures for WSNs are compared to achieve more robust and efficient network performance. Design issues of SOA middleware for WSNs and its characteristics are also highlighted. The paper concludes with future research directions in SOM architecture to meet all requirements of emerging application of WSNs.

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Section: Service-oriented Architectures Approaches For Wsnsmentioning

confidence: 99%

Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks

Alshinina

Elleithy

2017

Sensors

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“…Some researchers describe improved concepts for decision making processes in agriculture by connecting WSNs with web services as part of a spatial data infrastructure (SDI), building on the SWE specifications [22][23][24]. Other researchers developed applications, based on these web services, e.g., for online spraying operations, utilizing a web feature service (WFS) on-the-fly [25].…”

Section: Introductionmentioning

confidence: 99%

A Sensor Web-Enabled Infrastructure for Precision Farming

Geipel

Jackenkroll

Weis

et al. 2015

IJGI

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The use of sensor technologies is standard practice in the domain of precision farming. The variety of vendor-specific sensor systems, control units and processing software has led to increasing efforts in establishing interoperable sensor networks and standardized sensor data infrastructures. This study utilizes open source software and adapts the standards of the Open Geospatial Consortium to introduce a method for the realization of a sensor data infrastructure for precision farming applications. The infrastructure covers the control of sensor systems, the access to sensor data, the transmission of sensor data to web services and the standardized storage of sensor data in a sensor web-enabled server. It permits end users and computer systems to access the sensor data in a well-defined way and to build applications on top of the sensor web services. The infrastructure is scalable to large scenarios, where a multitude of sensor systems and sensor web services are involved. A real-world field trial was set-up to prove the applicability of the infrastructure.

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