DocumentCode
2761561
Title
Node aging effect on connectivity of data gathering trees in sensor networks
Author
Lee, Jae-Joon ; Krishnamachari, Bhaskar ; Kuo, C. C Jay
Author_Institution
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume
7
fYear
2004
fDate
26-29 Sept. 2004
Firstpage
4630
Abstract
Sensor nodes age over time due to device failure and/or battery energy depletion. Node survival rates affect data communication, sensing coverage, and, especially, the connectivity of data gathering trees that provide a forwarding path from each source to the sink and enable data aggregation. The node aging effect on the connectivity of a data gathering tree over time is analyzed. First, we discuss the general node aging problem by considering the device failure rate and the energy consumption rate. In the analysis of the energy consumption rate, we examine the effect of the data aggregation degree and the hop distance on the amount of data communication handled by a node of a data gathering tree. Then, we present the survival function and the connectivity probability per hop distance in a data gathering tree. Finally, the resulting non-uniform connectivity over time in a data gathering tree is examined with the comparison between the device failure effect and the energy depletion effect through extensive simulation. It is shown by mathematical analysis, as well as simulation, that the node aging process has a significant impact on connectivity as the hop distance increases.
Keywords
ageing; data communication; failure analysis; power consumption; telecommunication network reliability; trees (mathematics); wireless sensor networks; battery energy depletion; connectivity probability; data aggregation; data communication; data gathering tree connectivity; device failure rate; energy consumption rate; hop distance; radio range; sensing coverage; sensor networks; sensor node aging effect; survival function; Aging; Analytical models; Batteries; Control systems; Costs; Data communication; Energy consumption; Intelligent networks; Mathematical analysis; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN
1090-3038
Print_ISBN
0-7803-8521-7
Type
conf
DOI
10.1109/VETECF.2004.1404968
Filename
1404968
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