Energy-Efficient and Robust Spatial Window Aggregation Query Processing Algorithm in Wireless Sensor Networks

Liu, Liang; Qin, Xiaolin; Li, Bohan; Liu, Yulei; Zheng, Gui-Neng

doi:10.1109/icdcsw.2012.71

Cited by 2 publications

(2 citation statements)

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“…Section IV, V and VI describe the proposed algorithms used by the mechanism. Section VII presents the performance In fault-tolerant, in-network spatial query processing mechanism [2] for WSN is proposed. It was devised to reduce the energy consumption in networks experiencing frequent node failures.…”

Section: Introductionmentioning

confidence: 99%

“…Robust spatial Aggregation [2] divides the query area into several grid cells and collects the sensor readings of nodes within each grid cell. Each grid cell has a cluster head node which collects the sensory data of nodes in the grid cell, calculates the partial query result and sends the result to the cluster head node of the next grid cell.…”

Section: Introductionmentioning

confidence: 99%

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Energy - efficient and fault tolerant spatial query processing in Wireless Sensor Networks

P¹,

Enigo²

2014

2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies

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In Wireless Sensor Networks (WSNs) the user establishes a region and requires the WSN to collect data only inside this region. This kind of query is called spatial query. In static deployment, nodes do not fail but can be destroyed, interference can deny the communication and nodes can go to sleep mode in order to save energy. The current state-of-the-art spatial window query processing algorithms do not take sensor node failures into consideration, which leads to low query success rate and high energy consumption. This work proposes a fault tolerant and energy efficient spatial query processing mechanism for WSN. The proposed mechanism is fault tolerant because queries or query results are forwarded only by active nodes, which are selected among a set of candidates that responded to inquiry messages.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy - efficient and fault tolerant spatial query processing in Wireless Sensor Networks

P¹,

Enigo²

2014

2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies

View full text Add to dashboard Cite

show abstract

Towards Efficient and Intelligent Internet of Things Search Engine

et al. 2021

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The Internet of Things (IoT) has created a novel ecosystem for sensing and actuation throughout our world, enabling intelligently controlled autonomous systems to conserve energy, water crops, manage factories, and provide situation awareness on an unprecedented scale. As IoT progresses, the interest in IoT search engines, that is, search engines to find IoT devices and retrieve IoT data, has grown. While basic examples of IoT search engines exist, considerable challenges prevent the full realization of an efficient and intelligent IoT search engine that provides universal data service, scalable data communication and retrieval, and efficient querying of massively distributed heterogeneous devices and data. In this article, we first propose a generic framework for the IoT search engine, and then present a naming service for the IoT system, an essential component for an effective IoT search engine. We also outline some research challenges and possible solutions for building efficiency and intelligence in the IoT search engine. Further, we present a case study and seek to address a particular aspect of the query process for IoT search, namely efficient and timely query processing. Given the now obvious advances in machine learning, the potential for deep learning-based prediction to improve resource use, and thus query retrieval, is clear. In detail, we utilize Long-Short-Term Memory (LSTM) neural network architecture to predict aggregated query volumes to be preemptively applied and stored for immediate response. Combining several realistic IoT datasets, we explore the efficacy of simultaneously predicting multiple targets for predictive query retrieval.INDEX TERMS Machine learning, Internet of Things, search engine, edge intelligence, applications.

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Energy-Efficient and Robust Spatial Window Aggregation Query Processing Algorithm in Wireless Sensor Networks

Cited by 2 publications

References 16 publications

Energy - efficient and fault tolerant spatial query processing in Wireless Sensor Networks

Energy - efficient and fault tolerant spatial query processing in Wireless Sensor Networks

Towards Efficient and Intelligent Internet of Things Search Engine

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