  This paper deals with the coverage problem of wireless sensor network. We use
the density based clustering technique - OPTICS to cover a target region with
less number of sensor nodes. OPTICS works well to identify the outliers, core
points and it obtains the denser regions. We define a level of acceptance to
find next appropriate sensor in the region. We eliminate overlapped area and
obtain a decision tree to minimally cover up the target region.
