DocumentCode
2904329
Title
Lifetime Maximization of UWB-Based Sensor Networks for Event Detection Applications
Author
Shirazi, Ghasem Naddafzadeh ; Lampe, Lutz
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
fYear
2010
fDate
23-27 May 2010
Firstpage
1
Lastpage
6
Abstract
Ultra wideband (UWB) technology is well suited for communication in wireless sensor networks, in which low power consumption for data transmission and the availability of precise ranging information are highly desirable. In this paper, we consider the application of UWB in an event-detection sensor network, and we are interested in maximizing the network operational lifetime while satisfying requirements on the detection and false alarm probabilities. Towards the goal of lifetime maximization we (i) jointly find the optimal routes from multiple events to the sink, to avoid the bottleneck-node phenomenon which often limits lifetime, and (ii) allow adjustment of the data rate that each sensor generates to contribute to event detection, in order to balance the energy consumption among the nodes in the network. Using the UWB signal characteristics, we present a convex optimization model to solve the lifetime maximization problem. The numerical results show that the proposed framework leads to significant improvements in network operational lifetime compared to benchmark approaches.
Keywords
convex programming; ultra wideband communication; wireless sensor networks; UWB-based sensor network; convex optimization model; energy consumption; event detection sensor network; false alarm probability; lifetime maximization; ultra wideband technology; wireless sensor network; Application software; Energy consumption; Event detection; Peer to peer computing; Power control; Power engineering and energy; Radar detection; Routing; Sensor phenomena and characterization; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2010 IEEE International Conference on
Conference_Location
Cape Town
ISSN
1550-3607
Print_ISBN
978-1-4244-6402-9
Type
conf
DOI
10.1109/ICC.2010.5502170
Filename
5502170
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