UCLA Technical Reports Title Coping with irregular spatio-temporal sampling in sensor networks Publication Date

Deepak Ganesan, Sylvia Ratnasamy, Hanbiao Wang
2003 unpublished
Wireless sensor networks have attracted attention from a diverse set of researchers, due to the unique combination of distributed, resource and data processing constraints. However, until now, the lack of real sensor network deployments have resulted in ad-hoc assumptions on a wide range of issues including topology characteristics and data distribution. As deployments of sensor networks become more widespread [1, 2], many of these assumptions need to be revisited.
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