  Since we are not able to replace the battery in a wireless sensor networks
(WSNs), the issues of energy and lifetime are the most important parameters. In
asymmetrical networks, different sensors with various abilities are used. Super
nodes, with higher power and wider range of communication in comparison with
common sensors, are used to cause connectivity and transmit data to base
stations in these networks. It is crucial to select the parameters of fit
function and monitoring sensors optimally in a point covering network. In this
paper, we utilized an algorithm to select monitoring sensors. The selection is
done by using a novel algorithm that used by simulated annealing. This
selection takes remained energy into consideration. This method increases
lifetime, decreases and balances energy consumption as confirmed by simulation
results.

Networking and Internet Architecture