Habitat monitoring: application driver for wireless communications technology

As new fabrication and integration technologies reduce the cost and size of micro-sensors and wireless interfaces, it becomes feasible to deploy densely distributed wireless networks of sensors and actuators. These systems promise to revolutionize biological, earth, and environmental monitoring applications, providing data at granularities unrealizable by other means. In addition to the challenges of miniaturization, new system architectures and new network algorithms must be developed to transform the vast quantity of raw sensor data into a manageable stream of high-level data. To address this, we propose a tiered system architecture in which data collected at numerous, inexpensive sensor nodes is filtered by local processing on its way through to larger, more capable and more expensive nodes.We briefly describe Habitat monitoring as our motivating application and introduce initial system building blocks designed to support this application. The remainder of the paper presents details of our experimental platform.

[1]  David L. Mills,et al.  Internet time synchronization: the network time protocol , 1991, IEEE Trans. Commun..

[2]  Chris Hanson,et al.  Amorphous computing , 2000, Commun. ACM.

[3]  J Stanford,et al.  A new horizon for biological field stations and marine laboratories. , 1996, Trends in ecology & evolution.

[4]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.

[5]  Gregory J. Pottie,et al.  Wireless integrated network sensors , 2000, Commun. ACM.

[6]  Gaurav S. Sukhatme,et al.  Embedding robots into the Internet , 2000, Commun. ACM.

[7]  Michael Hamilton,et al.  Scientific data visualization and biological diversity: new tools for spatializing multimedia observations of species and ecosystems , 1992 .

[8]  Murray Gell-Mann,et al.  What Is Complexity , 2002 .

[9]  Randy H. Katz,et al.  Next century challenges: mobile networking for “Smart Dust” , 1999, MobiCom.

[10]  Bruce T. Milne,et al.  Detecting Critical Scales in Fragmented Landscapes , 1997 .

[11]  W. Steffen,et al.  An Overview of the Implications of Global Change for Natural and Managed Terrestrial Ecosystems , 1997 .

[12]  Gaurav S. Sukhatme,et al.  Design and implementation of a mechanically heterogeneous robot group , 1999, Optics East.

[13]  Maja J. Mataric,et al.  Issues and approaches in the design of collective autonomous agents , 1995, Robotics Auton. Syst..

[14]  Satish Kumar,et al.  Next century challenges: scalable coordination in sensor networks , 1999, MobiCom.