DocumentCode
2958469
Title
Dynamic event data aggregation in wireless sensor networks
Author
Chen, Wanming ; Mei, Tao ; Liu, Yumei ; Meng, Max Q -H ; Liang, Huawei
Author_Institution
Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei
fYear
2008
fDate
5-8 Aug. 2008
Firstpage
43
Lastpage
48
Abstract
Data aggregation is an efficient method to decrease the energy consumption in wireless sensor networks. The structure based data aggregation algorithm is not suitable for the application of dynamic events, because the structured sensor network requires higher communication overheads to capture the event when the data sources are changing dynamically. We propose an energy efficient data aggregation algorithm utilized for dynamic event in wireless sensor networks. In this algorithm, the sensor nodes utilize the advantage of wireless channel that the energy consumption for broadcasting is approximately equivalent to that for sending to just one neighbor. Data are aggregated among nodes by one time broadcasting. Geography based routing method is used in data aggregation and transmit the data to the remote sink node. Simulation results show that the proposed data aggregation algorithm can decrease the maximum and mean energy consumption of sensor nodes highly in dynamic events.
Keywords
telecommunication network reliability; telecommunication network routing; wireless sensor networks; broadcasting; data sources; dynamic event data aggregation; energy consumption; geography based routing method; higher communication overheads; remote sink node; wireless sensor networks; Automation; Biosensors; Broadcasting; Chemical and biological sensors; Clustering algorithms; Energy consumption; Energy efficiency; Head; Heuristic algorithms; Wireless sensor networks; Wireless sensor networks; data aggregation algorithm; dynamic event;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on
Conference_Location
Takamatsu
Print_ISBN
978-1-4244-2631-7
Electronic_ISBN
978-1-4244-2632-4
Type
conf
DOI
10.1109/ICMA.2008.4798723
Filename
4798723
Link To Document