The wireless rechargeable sensor network is a technology to solve lifetime problem for wireless sensor network. Most researches discussed about the outdoor scenario but there are few studies focused on the indoor scenario. Actually, wireless sensor network is very important for the indoor scenario. The reason is that sensors help factory control production for better quality as well as both of disaster relief and prevention are also need to deploy sensors in the indoor scenario. These instances have the concept of sustainable development because sensors cannot be suddenly interrupted so that the expected benefits cannot be realized. As in the example just mentioned, quality of production is no longer to be guaranteed and disaster will not be prevented. That is why the wireless rechargeable sensor network becomes more popular. There are many low cost charger deployment algorithms have been proposed. However, these works almost have opportunity to fall into local optimum. This paper will present a layoff algorithm to combine simulated annealing-based algorithm to achieve optimization for wireless rechargeable sensor network. The simulation results show that the proposed method can reduce the number of chargers efficiently but just need same time with simulated annealing-based algorithm.