TY - JOUR
T1 - Information Extraction from Wireless Sensor Networks
T2 - System and Approaches
AU - Alsboui, Tariq
AU - Abuarqoub, Abdelrahman
AU - Hammoudeh, Mohammad
AU - Bandar, Zuhair
AU - Nisbet, Andy
PY - 2012/3/12
Y1 - 2012/3/12
N2 - 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 hybridization and adaptation of IE mechanisms.
AB - 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 hybridization and adaptation of IE mechanisms.
KW - Event-driven
KW - Information extraction
KW - Query-based
KW - Time-driven
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84866131272&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84866131272
VL - 14
SP - 1
EP - 17
JO - Sensors and Transducers
JF - Sensors and Transducers
SN - 2306-8515
IS - SPEC. 2
ER -