Information derived from sensor networks plays a crucial role in the success of many critical tasks such as
surveillance, and border monitoring. In order to derive the correct information at the right time, sensor data
must be captured at desired locations with respect to the operational tasks in concern. Therefore, it is important
that at the planning stage of a mission, sensing resources are best placed in the field to capture the required
data. For example, consider a mission goal identify snipers, in an operational area before troops are deployed -
two acoustic arrays and a day-night video camera are needed to successfully achieve this goal. This is because,
if the resources are placed in correct locations, two acoustic arrays could provide direction of the shooter and
a possible location by triangulating acoustic data whereas the day-night camera could produce an affirmative
image of the perpetrators.
In order to deploy the sensing resources intelligently to support the user decisions, in this paper we propose a
Semantic Web based knowledge layer to identify the required resources in a sensor network and deploy the needed
resources through a sensor infrastructure. The knowledge layer captures crucial information such as resources
configurations, their intended use (e.g., two acoustic arrays deployed in a particular formation with day-night
camera are needed to identify perpetrators in a possible sniper attack). The underlying sensor infrastructure
will assists the process by exposing the information about deployed resources, resources in theatre, and location
information about tasks, resources and so on.