DocumentCode
2496626
Title
Efficient self protection algorithms for static wireless sensor networks
Author
Yu Wang ; Xiang-Yang Li ; Qian Zhang
Author_Institution
Univ. of North Carolina at Charlotte, Charlotte
fYear
2007
fDate
26-30 Nov. 2007
Firstpage
931
Lastpage
935
Abstract
Wireless sensor networks have been widely used in many surveillance applications. Due to the importance of sensor nodes in such applications, certain level of protection needs to be provided to them. We study the self protection problem for static wireless sensor networks in this paper. Self protection problem focuses on using sensor nodes to provide protection to themselves instead of the target objects or certain target area, so that the sensor nodes can resist the attacks targeting on them directly. A wireless sensor network is p-self-protected, if for any wireless sensor there are at least p active sensors that can monitor it. The problem finding minimum p-self-protection is NP-complete and no efficient self protection algorithms have been proposed. In this paper, we provide efficient centralized and distributed algorithms with constant approximation ratio for minimum p-self-protection problem. In addition, we design efficient distributed algorithms to not only achieve p-self-protection but also maintain the connectivity of all active sensors. Our simulation confirms the performances of proposed algorithms.
Keywords
computational complexity; surveillance; wireless sensor networks; NP-complete; active sensors; distributed algorithms; p-self-protection; self protection algorithms; sensor nodes; static wireless sensor networks; surveillance; target objects; Algorithm design and analysis; Asia; Distributed algorithms; Fault tolerance; Monitoring; Protection; Resists; Sensor systems; Surveillance; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-1042-2
Type
conf
DOI
10.1109/GLOCOM.2007.179
Filename
4411089
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