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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. Inasymmetrical networks, different sensors with various abilities are used. Supernodes, with higher power and wider range of communication in comparison withcommon sensors, are used to cause connectivity and transmit data to basestations in these networks. It is crucial to select the parameters of fitfunction and monitoring sensors optimally in a point covering network. In thispaper, we utilized an algorithm to select monitoring sensors. The selection isdone by using a novel algorithm that used by simulated annealing. Thisselection takes remained energy into consideration. This method increaseslifetime, decreases and balances energy consumption as confirmed by simulationresults.

Increasing the Network life Time by Simulated Annealing Algorithm in WSN with Point Coverage