@inproceedings{42fe8f3f85d54ab1a06124c41780122a,
title = "An overview and classification of approaches to information extraction in wireless sensor networks",
abstract = "Recent advances in wireless communication have made it possible to develop low-cost, and low power Wireless Sensor Networks (WSN). The WSN can be used for several application areas (e.g., habitat monitoring, forest fire detection, and health care). WSN Information Extraction (IE) techniques can be classified into four categories depending on the factors that drive data acquisition: event-driven, time-driven, query-based, and hybrid. This paper presents a survey of the state-of-the-art IE techniques in WSNs. The benefits and shortcomings of different IE approaches are presented as motivation for future work into automatic hybridisation and adaptation of IE mechanisms.",
keywords = "Information extraction, Wireless sensor networks",
author = "Alsbou{\'i}, \{Tariq A.A.\} and Mohammad Hammoudeh and Zuhair Bandar and Andy Nisbet",
year = "2011",
language = "English",
series = "SENSORCOMM 2011 - 5th International Conference on Sensor Technologies and Applications and WSNSCM 2011, 1st International Workshop on Sensor Networks for Supply Chain Management",
publisher = "International Academy, Research and Industry Association, IARIA",
pages = "255--260",
editor = "Yenumula Reddy and Hovem, \{Jens Martin\} and Joshua Ellul and Laurent Gomez",
booktitle = "SENSORCOMM 2011 - 5th International Conference on Sensor Technologies and Applications and WSNSCM 2011, 1st International Workshop on Sensor Networks for Supply Chain Management",
}