Call and response: experiments in sampling the environment

Monitoring of environmental phenomena with embedded networked sensing confronts the challenges of both unpredictable variability in the spatial distribution of phenomena, coupled with demands for a high spatial sampling rate in three dimensions. For example, low distortion mapping of critical solar radiation properties in forest environments may require two-dimensional spatial sampling rates of greater than 10 samples/m2 over transects exceeding 1000 m2 . Clearly, adequate sampling coverage of such a transect requires an impractically large number of sensing nodes. This paper describes a new approach where the deployment of a combination of autonomous-articulated and static sensor nodes enables sufficient spatiotemporal sampling density over large transects to meet a general set of environmental mapping demands. To achieve this we have developed an embedded networked sensor architecture that merges sensing and articulation with adaptive algorithms that are responsive to both variabili...

• Type: Conference
• Year: 2004
• Where: SENSYS
• Authors: Maxim A. Batalin, Mohammad H. Rahimi, Yan Yu, Duo Liu, Aman Kansal, Gaurav S. Sukhatme, William J. Kaiser, Mark H. Hansen, Gregory J. Pottie, Mani B. Srivastava, Deborah Estrin
• Keywords: Environmental Phenomena, Sensor Networks, SENSYS 2004, Spatial Sampling Rates, Two-dimensional Spatial Sampling