| The current trend for monitoring different parameters in
any facility is towards fully integrated surveillance systems
using sensor network. For example, sensor network may be
deployed over a military installation to monitor temperature,
humidity, pressure and surveillance for various equipment or
critical regions. Deploying individual sensors node for each
parameter would be costly, especially if multiple parameters
are to be measured at a single location. This calls for
intelligent deployment of sensor nodes with multiple sensing
interfaces. In this paper, we propose placement and interface
selection algorithm (PISA) for deploying such sensor nodes
and selecting their respective sensing interfaces. The inputs
to PISA are the various individual regions where different
types of parameters are to be measured. These regions are
characterized with imaginary nodes (Inodes). PISA works
in two phases; firstly, it identifies various clusters of Inodes
that can be formed using heterogeneous clustering algorithm
and then in the second phase it uses the cluster centers as
candidate locations to identify the appropriate sensor node
locations and their respective sensing interfaces with the
help of genetic algorithm. We discuss the features of PISA
and test various example cases via MATLAB simulations.
The solutions obtained using PISA enable efficient parameter
monitoring over the regions of interest with minimum number
of sensor nodes and sensing interfaces. |