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Adaptive Filter Updating for Energy-Efficient Top-k Queries in Wireless Sensor Networks Using Gaussian Process Regression

Jiping Zheng, Baoli Song, Yongge Wang, Haixiang Wang
2015 International Journal of Distributed Sensor Networks  
Adopting filtering mechanism of dynamic filtering windows installed on sensor nodes to process top-queries is an important research direction in wireless sensor networks.  ...  Due to updating filters consuming a large amount of energy, an algorithm named FUGPR based on Gaussian process regression to process top-queries is provided for saving energy.  ...  Acknowledgment This work is partially supported by the Fundamental Research Funds for the Central Universities of China under Grant no. NS2015095.  ... 
doi:10.1155/2015/304198 fatcat:dyu6pixlc5ewhfxpgew2ms36tm

Distributed Database Management Techniques for Wireless Sensor Networks

Ousmane Diallo, Joel Jose P. C. Rodrigues, Mbaye Sene, Jaime Lloret
2015 IEEE Transactions on Parallel and Distributed Systems  
In this way, the distributed database approach for sensor networks is proved as one of the most energy-efficient data storage and query techniques.  ...  This paper surveys the state of the art of the techniques used to manage data and queries in wireless sensor networks based on the distributed paradigm.  ...  Data-centric storage provides energy-efficient data dissemination and organization in wireless sensor networks. Moreover, using metadata is useful for efficient query routing and data access.  ... 
doi:10.1109/tpds.2013.207 fatcat:jnuoflwt2zhntcylijjryh4v2m

A Study of Approximate Data Management Techniques for Sensor Networks

Adonis Skordylis
2006 2006 International Workshop on Intelligent Solutions in Embedded Systems  
A significant challenge is to prolong the monitoring operation of sensor nodes by efficiently using their limited energy, bandwidth and computation resources.  ...  In this paper, we survey approximate data management techniques for sensor networks that exploit the tolerance of most applications to small inaccuracies in the reported data in order to extend the network  ...  Approximate Processing of Multiple Spatially-Distributed Sensor Streams In this section we present recent techniques for processing multiple sensor streams in an energy efficient manner.  ... 
doi:10.1109/wises.2006.237157 fatcat:ggs3mikolneerev7et4gextwcu

A Study of Approximate Data Management Techniques for Sensor Networks

Adonis Skordylis, Niki Trigoni, Alexandre Guitton
2006 2006 International Workshop on Intelligent Solutions in Embedded Systems  
A significant challenge is to prolong the monitoring operation of sensor nodes by efficiently using their limited energy, bandwidth and computation resources.  ...  In this paper, we survey approximate data management techniques for sensor networks that exploit the tolerance of most applications to small inaccuracies in the reported data in order to extend the network  ...  Approximate Processing of Multiple Spatially-Distributed Sensor Streams In this section we present recent techniques for processing multiple sensor streams in an energy efficient manner.  ... 
doi:10.1109/wises.2006.329119 dblp:conf/wises/SkordylisTG06 fatcat:ay3klpfembarrguz7oi2ktdysq

An Efficient Recommendation Filter Model on Smart Home Big Data Analytics for Enhanced Living Environments

Hao Chen, Xiaoyun Xie, Wanneng Shu, Naixue Xiong
2016 Sensors  
This method inherits the advantages of the optimum regression and the stability features of the proposed adaptive Kalman Filter model, and it can predict and revise the weight of each system component  ...  With the rapid growth of wireless sensor applications, the user interfaces and configurations of smart homes have become so complicated and inflexible that users usually have to spend a great amount of  ...  and query classification performance, and now is widely used in the recommender system for a summary measure.  ... 
doi:10.3390/s16101706 pmid:27754456 pmcid:PMC5087494 fatcat:4g73dpv56zc65b5ouxfhm4obgy

Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman Filter

Guiyi Wei, Yun Ling, Binfeng Guo, Bin Xiao, Athanasios V. Vasilakos
2011 Computer Communications  
approach for reducing redundant data communications and saving sensor nodes' energy.  ...  In many environmental monitoring applications, since the data periodically sensed by wireless sensor networks usually are of high temporal redundancy, prediction-based data aggregation is an important  ...  They are effective in improving energy efficiency and extending the lifetime of the wireless sensor network [2] .  ... 
doi:10.1016/j.comcom.2010.10.003 fatcat:urwnmlzh5fbzjdwukjl5sdjfxe

Snapshot of Energy Optimization Techniques to Leverage Life of Wireless Sensor Network

Kavya A P, D J Ravi
2021 International Journal of Advanced Computer Science and Applications  
Energy Optimization in Wireless Sensor Network (WSN) deals with the techniques which targets higher degree of energy efficiency using resource-constraint sensor nodes with minimal inclusion of any different  ...  The paper also contributes towards exploring the updates research trends and highlights about the open-end research problems in WSN.  ...  [39] have used nearest neighboring approach for performing query processing in WSN with an idea of optimizing latency and energy involved.  ... 
doi:10.14569/ijacsa.2021.0120714 fatcat:neasx3zauvhylho3so7yh2yv6y

Decentralized Cooperative TOA/AOA Target Tracking for Hierarchical Wireless Sensor Networks

Ying-Chih Chen, Chih-Yu Wen
2012 Sensors  
This paper proposes a distributed method for cooperative target tracking in hierarchical wireless sensor networks.  ...  The proposed energy-efficient tracking algorithm allows each sub-cluster member to locally estimate the target position with a Bayesian filtering framework and a neural networking model, and further performs  ...  The original RAI (top left); the updated RAI (top right); the refined sample area (bottom left); the final sample area for particle filtering (bottom right).  ... 
doi:10.3390/s121115308 pmid:23202212 pmcid:PMC3522965 fatcat:qzvkx7p2nnbbzgtmywjgoc4cie

Approximate Sensory Data Collection: A Survey

Siyao Cheng, Zhipeng Cai, Jianzhong Li
2017 Sensors  
With the rapid development of the Internet of Things (IoTs), wireless sensor networks (WSNs) and related techniques, the amount of sensory data manifests an explosive growth.  ...  Since the exact data collection is not affordable for many WSN and IoT systems due to the limitations on bandwidth and energy, many approximate data collection algorithms have been proposed in the last  ...  Author Contributions: Siyao Cheng made contributions in analyzing compressive sensing based algorithms and query-driven algorithms. She also prepared the manuscript and proposed the further works.  ... 
doi:10.3390/s17030564 pmid:28287440 pmcid:PMC5375850 fatcat:3jclshztn5guhnlwlmx6f4yuoi

An Introduction to Sensor Data Analytics [chapter]

Charu C. Aggarwal
2012 Managing and Mining Sensor Data  
Furthermore, MIST proposes an in-network index structure for indexing the HMMs. This index can be used for improving the performance of query processing.  ...  This subsection reviews popular models that are widely used in the sensor data cleaning process. Regression Models.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.  ... 
doi:10.1007/978-1-4614-6309-2_1 fatcat:pfbx566yfzgqpnjcuzonmxr23q

An energy-efficient querying framework in sensor networks for detecting node similarities

Daniela Tulone, Samuel Madden
2006 Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems - MSWiM '06  
We propose an energy-efficient framework, called SAF, for approximate querying and clustering of nodes in a sensor network. SAF uses simple time series forecasting models to predict sensor readings.  ...  Our approach dramatically reduces communication relative to previous approaches for querying sensor networks by exploiting properties of these local models, since each sensor communicates with the sink  ...  [14] show how similar (non-probabilistic) techniques can be adapted to the sensor network domain in an energy efficient way.  ... 
doi:10.1145/1164717.1164768 dblp:conf/mswim/TuloneM06 fatcat:7ynjn6o6wncurnhsaoeo25ij2y

Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons

Suining He, S.-H. Gary Chan
2016 IEEE Communications Surveys and Tutorials  
achieving energy efficiency for smartphones.  ...  Regarding efficient system deployment, we discuss recent advances on reducing offline labor-intensive survey, adapting to fingerprint changes, calibrating heterogeneous devices for signal collection, and  ...  Based on Gaussian process [142] , the predicted RSSI for unknown location x is given by μ x = m(x ) + k(x , X) K + σ 2 n I −1 (S − m(X)) , (7) where σ n are the hyper-parameters of GP.  ... 
doi:10.1109/comst.2015.2464084 fatcat:vgqxvxzrl5ddte7xi4x4rnd5oa

An In-Network Querying Framework for Wireless Sensor Networks

M. Demirbas, Xuming Lu, P. Singla
2009 IEEE Transactions on Parallel and Distributed Systems  
In contrast to traditional wireless sensor network (WSN) applications that perform only data collection and aggregation, new generation of information processing applications, such as pursuit-evasion games  ...  Due to the resource limitations of WSNs, it is challenging to implement in-network querying in a distributed, lightweight, resilient and energy-efficient manner.  ...  To reduce the querying cost and yet also achieve efficient in-network indexing, modeling the sensor data is quite useful.  ... 
doi:10.1109/tpds.2008.217 fatcat:gytosmylkndencq7mhzdug3kki

A utility-based adaptive sensing and multihop communication protocol for wireless sensor networks

Paritosh Padhy, Rajdeep K. Dash, Kirk Martinez, Nicholas R. Jennings
2010 ACM transactions on sensor networks  
This paper reports on the development of a utility-based mechanism for managing sensing and communication in cooperative multi-sensor networks.  ...  Finally, we empirically evaluate our protocol by examining the impact on efficiency of a static network topology, a dynamic network topology, the size of the network, the degree of dynamism of the environment  ...  We would like to express our thanks to the anonymous reviewers for their insightful comments in making the paper better.  ... 
doi:10.1145/1754414.1754423 fatcat:f76j7fv4j5axrcsxyhszwc644e

A Survey about Prediction-Based Data Reduction in Wireless Sensor Networks [article]

Gabriel Martins Dias, Boris Bellalta, Simon Oechsner
2016 arXiv   pre-print
One of the main characteristics of Wireless Sensor Networks (WSNs) is the constrained energy resources of their wireless sensor nodes.  ...  Although this issue has been addressed in several works and got a lot of attention within the years, the most recent advances pointed out that the energy harvesting and wireless charging techniques may  ...  We wish to thank the reviewers for their insightful comments and suggestions that allowed us to improve this paper.  ... 
arXiv:1607.03443v1 fatcat:c7jwaotqzfdqrpte3fphcnff34
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