A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is
In this paper we characterize the scaling laws of the generated traffic and scheduling delays associated with the broadcast problem in dense multihop sensor networks where sample measurements are highly correlated. More specifically, we assess the benefits, and possibly the trade-offs, of exploiting sample correlations via cooperatively compressing the data as it hops around the network. First, we determine, with the aid of basic information theory, the transport traffic and schedule lengthdoi:10.1109/icc.2004.1313229 dblp:conf/icc/ElBatt04 fatcat:wv5njoralrgrjjzigqrz6bndem