Title :
A lower bound to the scaling behavior of sensor networks
Author :
Gastpar, M. ; Vetterli, M.
Author_Institution :
Dept. of EECS, California Univ., Berkeley, CA
Abstract :
For a class of sensor networks, the task is to monitor an underlying physical phenomenon over space and time through a noisy observation process. The sensors can communicate back to a data collector over a noisy channel. The key parameters in such a setting are the fidelity at which the underlying physical phenomenon can be estimated by a central data collector, and the cost of operating the communication network. This paper presents a lower bound to the scaling behavior of sensor networks
Keywords :
telecommunication channels; wireless sensor networks; central data collector; noisy channel; noisy observation process; scaling behavior; sensor network; Bandwidth; Collaboration; Electronic mail; Extraterrestrial phenomena; Feedback; Gaussian noise; Monitoring; Random variables; Sensor phenomena and characterization; Vectors;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365406
