ABSTRACT
Motivated by robustness, scaling, and energy efficiency requirements, this chapter examines a new
data dissemination paradigm for such sensor networks. This paradigm, which we call directed diffusion,1
is data centric. Data generated by sensor nodes is named by attribute-value pairs. A node requests data
by sending interests for named data. Data matching the interest is then ‘‘drawn’’ down towards that
node. Intermediate nodes can cache, or transform, data and may direct interests based on previously
cached data (Section 29.3).
