THESIS
2013
xi, 92 pages : illustrations ; 30 cm
Abstract
Wireless sensor networks (WSN), which consist of numerous energy-constrained sensor
nodes, are mostly duty-cycled and rely on multi-hop routing to collect data. Data collection
mechanism is thus a building block of WSN systems. The performance of low duty cycle WSN
nowadays, however, are far restricted by the limited understanding and the underachieved
design of the forwarding mechanisms. This dissertation is based on real-world WSN measurements
and mainly addresses three key issues that emerge from real applications, namely
bursty-loss aware lazy forwarding, duplicate detectable opportunistic forwarding and end-to-end
delay measurement, modeling and optimization. We develop theoretical principles and
practical approaches to address the above issues. Through extensive real-world...[
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Wireless sensor networks (WSN), which consist of numerous energy-constrained sensor
nodes, are mostly duty-cycled and rely on multi-hop routing to collect data. Data collection
mechanism is thus a building block of WSN systems. The performance of low duty cycle WSN
nowadays, however, are far restricted by the limited understanding and the underachieved
design of the forwarding mechanisms. This dissertation is based on real-world WSN measurements
and mainly addresses three key issues that emerge from real applications, namely
bursty-loss aware lazy forwarding, duplicate detectable opportunistic forwarding and end-to-end
delay measurement, modeling and optimization. We develop theoretical principles and
practical approaches to address the above issues. Through extensive real-world implementations
and trace-driven experiments, we evaluate those proposed methods and verify the
efficiency.
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