论文信息 - Sensor Networks and Data Streams: Basics

Sensor Networks and Data Streams: Basics

Recent advances in pervasive computing and sensor technologies have significantly influenced the field of geosciences, by changing the type of dynamic environmental phenomena that can be detected, monitored, and reacted to. Another important aspect is the real-time data delivery of novel platforms. In this chapter, we describe the specific characteristics of sensor data and sensor networks. Furthermore, we identify the most promising streaming models, which can be embedded in intelligent sensor platforms and used to mine real-time data for a variety of analytical insights.

[1] Charu C. Aggarwal. An Introduction to Sensor Data Analytics , 2013, Managing and Mining Sensor Data.

[2] Shonali Krishnaswamy,et al. Mining data streams: a review , 2005, SGMD.

[3] Zengwei Zheng,et al. An Overview: the Development of Prediction Technology of Wind and Photovoltaic Power Generation , 2011 .

[4] Weili Wu,et al. Modelling spatial dependencies for mining geospatial data: An introduction , 2001 .

[5] J. LeSage,et al. Spatial Dependence in Data Mining , 2001 .

[6] Shashi Shekhar,et al. Spatial Databases: A Tour , 2003 .

[7] Deborah Estrin,et al. Guest Editors' Introduction: Overview of Sensor Networks , 2004, Computer.

[8] Anura P. Jayasumana. Sensor networks - Technologies, protocols and algorithms , 2009, 2009 IEEE International Symposium on Industrial Electronics.

[9] Raja Chiky,et al. Summarizing Distributed Data Streams for Storage in Data Warehouses , 2008, DaWaK.

[10] P. Legendre. Spatial Autocorrelation: Trouble or New Paradigm? , 1993 .

[11] João Gama,et al. Data Stream Processing , 2007 .

[12] Dino Pedreschi,et al. Spatiotemporal Data Mining , 2008, Mobility, Data Mining and Privacy.

[13] Avi Ostfeld,et al. The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms , 2008 .