NORS: An Open Source Platform to Facilitate Participatory Sensing with Mobile Phones

Trossen, Dirk; Pavel, Dana

doi:10.1109/mobiq.2007.4451019

Cited by 16 publications

(12 citation statements)

References 5 publications

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“…NORS [36] is an open source platform that enables participatory sensing using mobile phones. It mainly focuses on collecting data instead of processing.…”

Section: Lessons Learned and Discussionmentioning

confidence: 99%

Energy-Efficient Location and Activity-Aware On-Demand Mobile Distributed Sensing Platform for Sensing as a Service in IoT Clouds

Perera

Talagala

Liu

et al. 2015

IEEE Trans. Comput. Soc. Syst.

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The Internet of Things (IoT) envisions billions of sensors deployed around us and connected to the Internet, where the mobile crowd sensing technologies are widely used to collect data in different contexts of the IoT paradigm. Due to the popularity of Big Data technologies, processing and storing large volumes of data has become easier than ever. However, large scale data management tasks still require significant amounts of resources that can be expensive regardless of whether they are purchased or rented (e.g. pay-as-you-go infrastructure). Further, not everyone is interested in such large scale data collection and analysis. More importantly, not everyone has the financial and computational resources to deal with such large volumes of data. Therefore, a timely need exists for a cloud-integrated mobile crowd sensing platform that is capable of capturing sensors data, on-demand, based on conditions enforced by the data consumers. In this paper, we propose a context-aware, specifically, location and activity-aware mobile sensing platform called C-MOSDEN (Context-aware Mobile Sensor Data ENgine) for the IoT domain. We evaluated the proposed platform using three real-world scenarios that highlight the importance of selective sensing. The computational effectiveness and efficiency of the proposed platform are investigated and is used to highlight the advantages of context-aware selective sensing.

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“…NORS [36] is an open source platform that enables participatory sensing using mobile phones. It mainly focuses on collecting data instead of processing.…”

Section: Lessons Learned and Discussionmentioning

confidence: 99%

Energy-Efficient Location and Activity-Aware On-Demand Mobile Distributed Sensing Platform for Sensing as a Service in IoT Clouds

Perera

Talagala

Liu

et al. 2015

IEEE Trans. Comput. Soc. Syst.

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“…Among the millions of M2M devices that will be deployed world-wide in the coming years, smartphones will be the most mobile, versatile and powerful devices that can be used as sensors and M2M gateways [12]. Therefore much research has been done on smartphone sensing applications in recent years [12,13,14,15,16,17,18,19,20,21,22,23].…”

Section: Smartphone Sensing In Vehiclesmentioning

confidence: 99%

Survey of smartphone‐based sensing in vehicles for intelligent transportation system applications

Engelbrecht

Booysen

Rooyen

et al. 2015

IET Intelligent Transport Systems

158

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Road crashes are a growing concern of governments and is rising to become one of the leading preventable causes of death, especially in developing countries. The ubiquitous presence of smartphones provides a new platform on which to implement sensor networks and driver assistance systems, as well as other ITS applications. In this paper, existing approaches of using smartphones for ITS applications are analyzed and compared. Particular focus is placed on vehicle-based monitoring systems, such as driving behavior and style recognition, accident detection and road condition monitoring systems. Further opportunities for use of smartphones in ITS systems are highlighted, and remaining challenges in this emerging field of research are identified.

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“…Trossen and Pavel presented a platform, Nokia Remote Sensing, which allows mobile devices to be the part of sensing frameworks and works as gateways to forward sensor data . Nokia Remote Sensing is based on the publish–subscribe communication paradigm.…”

Section: State Of the Artmentioning

confidence: 99%

CityWatch: exploiting sensor data to manage cities better

Manzoor

Patsakis

Morris

et al. 2014

Trans. Emerging Tel. Tech.

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Persistent urbanisation of our planet places a continuous strain on cities' resources and the quality of service delivery. While increasing city infrastructure might help alleviate this problem, the scale and complexity of future cities mean that this approach is unsustainable. Cities, however, are becoming increasingly instrumented with a myriad of sensors, both fixed and mobile. While a number of systems aim to exploit such sensors to gather information and to provide a real-time view of the city, existing approaches are application-specific, hindering their scalability and reuse. Using the city of Dublin (Ireland) as a testbed, this paper describes our iterative consultation process with city stakeholders to design CityWatch, an urban-scale data sensing and dissemination framework. In particular, it presents the resulting design of two prototype applications, the requirements on the overall framework, an initial implementation, and discusses the early results of ongoing trials.

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NORS: An Open Source Platform to Facilitate Participatory Sensing with Mobile Phones

Cited by 16 publications

References 5 publications

Energy-Efficient Location and Activity-Aware On-Demand Mobile Distributed Sensing Platform for Sensing as a Service in IoT Clouds

Energy-Efficient Location and Activity-Aware On-Demand Mobile Distributed Sensing Platform for Sensing as a Service in IoT Clouds

Survey of smartphone‐based sensing in vehicles for intelligent transportation system applications

CityWatch: exploiting sensor data to manage cities better

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