On query processing in wireless sensor networks using classes of quality of queries

Brayner, Ângelo; Coelho, André L. V.; Marinho, Karina; Filho, Raimir Holanda; Castro, Wagner L. T. de

doi:10.1016/j.inffus.2012.01.010

Cited by 10 publications

(5 citation statements)

References 18 publications

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“…The main functionality of Sensor Network Query Processors (SNQP) is to handle continuous queries and sensor data streams [13]. [14,15] propose an adaptive in-network aggregation operator ADAGA for query processing on sensor devices in order to filter and reduce the volume of sensor data. The main functionality of ADAGA is to regulate/adjust sensor activities based on energy levels and memory usage of sensor devices.…”

Section: Resultsmentioning

confidence: 99%

Dynamic energy-aware sensor configuration in multi-application monitoring systems

Pinarer

Gripay

Servigne

et al. 2017

Pervasive and Mobile Computing

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A typical pervasive monitoring system like a smart building depends on an infrastructure composed of hundreds of heterogeneous wireless sensor devices. Managing the energy consumption of these devices poses a challenging problem that affects the overall efficiency and usability. Existing approaches for sensor energy consumption typically assume a single monitoring application to consume sensor data and a static configuration for sensor devices. In this paper, we focus on a multi-application context with dynamic requirements and multi-modal sensor devices. We present 3SoSM, an approach to optimize interactions between application requirements and wireless sensor environment in real-time. It relies on an energy-aware dynamic configuration of sensor devices to lower energy consumption while fulfilling application requirements. To bind together sensor configuration and dynamic management of data streams, we design a sustainable multi-application monitoring system architecture for pervasive environments that collects application requirements for sensor data streams and optimizes them into sensor configurations. To demonstrate the effectiveness of our approach, a set of experiments are designed in the context of smart buildings. We comparatively evaluate our approach to show how dynamic sensor configuration for multiple monitoring applications indeed outperforms the mainstream duty-cycling method.

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Section: Resultsmentioning

confidence: 99%

Dynamic energy-aware sensor configuration in multi-application monitoring systems

Pinarer

Gripay

Servigne

et al. 2017

Pervasive and Mobile Computing

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“…To overcome the volume issues of the transmitted data in high frequency sampling, in-network fusion techniques that only transmit outliers or dimensionality reduction techniques can be applied [Brayner et al 2014]. The bandwidth limitation of the networks can be solved with similar techniques and also by having a hierarchical storage, where most of the information is stored in the source but less information is transmitted to the applications, using sampling or other aggregation techniques.…”

Section: Challenges and Research Directionsmentioning

confidence: 99%

Challenges for Quality of Data in Smart Cities

Barnaghi

Bermúdez-Edo

Tönjes

2015

J. Data and Information Quality

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“…Therefore, a periodic aggregation query scheduling is performed by the designed routing strategy along with packet scheduling protocols. The quality of queries in WSNs is discussed by Brayner et al [ 56 ], which aims to deliver a reasonable level of data quality as expected, while ensuring the intelligent consumption of limited network resources. Generally, these methods mainly explore the strategies of supporting (periodic) query processing in WSNs, in order to consume less resources while prolonging the network lifetime.…”

Section: Related Work and Comparisonmentioning

confidence: 99%

A Novel Two-Tier Cooperative Caching Mechanism for the Optimization of Multi-Attribute Periodic Queries in Wireless Sensor Networks

Zhou

Deng

Shu

et al. 2015

Sensors

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Wireless sensor networks, serving as an important interface between physical environments and computational systems, have been used extensively for supporting domain applications, where multiple-attribute sensory data are queried from the network continuously and periodically. Usually, certain sensory data may not vary significantly within a certain time duration for certain applications. In this setting, sensory data gathered at a certain time slot can be used for answering concurrent queries and may be reused for answering the forthcoming queries when the variation of these data is within a certain threshold. To address this challenge, a popularity-based cooperative caching mechanism is proposed in this article, where the popularity of sensory data is calculated according to the queries issued in recent time slots. This popularity reflects the possibility that sensory data are interested in the forthcoming queries. Generally, sensory data with the highest popularity are cached at the sink node, while sensory data that may not be interested in the forthcoming queries are cached in the head nodes of divided grid cells. Leveraging these cooperatively cached sensory data, queries are answered through composing these two-tier cached data. Experimental evaluation shows that this approach can reduce the network communication cost significantly and increase the network capability.

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On query processing in wireless sensor networks using classes of quality of queries

Cited by 10 publications

References 18 publications

Dynamic energy-aware sensor configuration in multi-application monitoring systems

Dynamic energy-aware sensor configuration in multi-application monitoring systems

Challenges for Quality of Data in Smart Cities

A Novel Two-Tier Cooperative Caching Mechanism for the Optimization of Multi-Attribute Periodic Queries in Wireless Sensor Networks

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