DocumentCode
3526024
Title
Utilizing silent negative voting and sleep/wakeup method for power efficient data fusion
Author
Sandoval, Ramon ; Makki, S. Kami ; Sun, Bo
Author_Institution
Electr. Eng. Dept., Cooper Union Univ., New York, NY, USA
fYear
2012
fDate
Jan. 30 2012-Feb. 2 2012
Firstpage
1000
Lastpage
1004
Abstract
In wireless sensor networks, utilizing data fusion techniques reduces overall traffic within the network. A data fusion node aggregates the results of a number of sensors into fusion data. Therefore, the security or assurance of the fusion data is essential. At the same time, increasing the security of a data fusion node increases other factors such as packet overhead and power consumption. A security scheme must be both effective and power-efficient. Several methods of data fusion assurance have emerged, however none has the ability to effectively conserve energy. Therefore, this paper proposes a scheme based on basic silent negative voting method. The proposed scheme reduces the overall time of a voting round and introduces a sleep/wakeup schedule to reduce power consumption of the nodes in the network This scheme is analyzed and compared with the original silent negative voting method to show its performance in overall power savings.
Keywords
sensor fusion; telecommunication traffic; wireless sensor networks; data fusion assurance; data fusion node security; network traffic reduction; packet overhead; power consumption; power efficient data fusion technique; power savings; silent negative voting utilization; sleep-wakeup method; wireless sensor networks; Ad hoc networks; Conferences; Wireless communication; Wireless sensor networks; Assurance; Data fusion; Power efficiency; Security; Time-slotted voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Networking and Communications (ICNC), 2012 International Conference on
Conference_Location
Maui, HI
Print_ISBN
978-1-4673-0008-7
Electronic_ISBN
978-1-4673-0723-9
Type
conf
DOI
10.1109/ICCNC.2012.6167357
Filename
6167357
Link To Document