DocumentCode
2624173
Title
Event-driven Wireless Sensor Networks using energy-saving data collection
Author
Kawai, Sakiko ; Asaka, Takuya
Author_Institution
Grad. Sch. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan
fYear
2012
fDate
15-17 Oct. 2012
Firstpage
300
Lastpage
305
Abstract
In Wireless Sensor Networks (WSN) nodes are small battery-powered devices and electric power is difficult to supply after the network is activated. Thus, maximizing life time of the network is one of the most important challenges in wireless sensor networks. Also, nodes are allocated at high density because even if some nodes cannot communicate due to breakdown of devices or decrease in battery, network connectivity needs to be maintained. Thus, some nodes that are allocated proximally tend to obtain the same observation information. If a base station node (BS) collects observation information of events from all nodes that detect events, this is not effective from the point of view of power consumption because of communication between some nodes that have the same observation information. This paper proposes a data collecting method that removes redundant communications of observation information for event-driven wireless sensor networks. Our method, which estimates areas of events by communication between nodes and collects events of observation information of only nodes on the edge of the areas, achieves low-energy consumption.
Keywords
energy conservation; telecommunication network reliability; wireless sensor networks; BS; WSN; base station node; electric power; energy-saving data collection; event detection; event-driven wireless sensor network; low-energy consumption; network connectivity; network lifetime maximization; node allocation; observation information collection; power consumption; small battery-powered device; Aggregates; Data communication; Energy consumption; Shape; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (APCC), 2012 18th Asia-Pacific Conference on
Conference_Location
Jeju Island
Print_ISBN
978-1-4673-4726-6
Electronic_ISBN
978-1-4673-4727-3
Type
conf
DOI
10.1109/APCC.2012.6388151
Filename
6388151
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