Joint routing and charging to elongate sensor network lifetime

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2013-01-01
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Li, Zi
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Wensheng Zhang
Daji Qiao
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Computer Science

Computer Science—the theory, representation, processing, communication and use of information—is fundamentally transforming every aspect of human endeavor. The Department of Computer Science at Iowa State University advances computational and information sciences through; 1. educational and research programs within and beyond the university; 2. active engagement to help define national and international research, and 3. educational agendas, and sustained commitment to graduating leaders for academia, industry and government.

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The Computer Science Department was officially established in 1969, with Robert Stewart serving as the founding Department Chair. Faculty were composed of joint appointments with Mathematics, Statistics, and Electrical Engineering. In 1969, the building which now houses the Computer Science department, then simply called the Computer Science building, was completed. Later it was named Atanasoff Hall. Throughout the 1980s to present, the department expanded and developed its teaching and research agendas to cover many areas of computing.

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1969-present

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Powered by small batteries, sensor nodes' lifetime has been constrained by the scarce energy supply. This has been a long-lasting, fundamental problem faced by sensor networks that are usually designed for long-term operation. The emerging wireless charging technology is a promising alternative to address such energy constraint problem in sensor networks. Together with the more and more mature and inexpensive mobile robots, this technology is able to replenish energy proactively to meet application requirements rather than passively adapted to the availability of environmental resources such as solar, wind etc. However, the application of wireless charging technology to sensor networks is still in its infancy stage. In this thesis, we study the network lifetime elongation problem in sensor networks. Specifically, through guiding the routing activities in the network and delivering energy to where it is needed, we not only replenishes energy into the network but also effectively improves the network energy utilization, thus prolonging the network lifetime. Small-scale testbed experiments and large-scale simulations are conducted to evaluate the effectiveness of our work.

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Tue Jan 01 00:00:00 UTC 2013