Investigating a physically-based signal power model for robust low power wireless link simulation
Tal Rusak, Philip Levis
Abstract
Tal Rusak, Philip Levis
Abstract
We propose deriving wireless simulation models from experimental traces of radio signal strength. Because experimental traces have holes due to packet losses, we explore two algorithms for filling the gaps in lossy experimental traces. Using completed traces, we apply the closest-fit pattern matching (CPM) algorithm, originally designed for modeling external interference, to model signal strength.
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We propose deriving wireless simulation models from experimental traces of radio signal strength. Because experimental traces have holes due to packet losses, we explore two algorithms for filling the gaps in lossy experimental traces. Using completed traces, we apply the closest-fit pattern matching (CPM) algorithm, originally designed for modeling external interference, to model signal strength.
Key concepts: Lossy compression, Wireless, Computer science, Signal strength, SIGNAL (programming language), Power (physics), Matching (statistics), Network packet