Optimization on Comprehensive Performance of Wireless Sensor Networks Based on Complex Theory

The performance optimization is one of the core issue in WSNs. the present study is mainly from two directions, the power control and the sleep scheduling. A well-designed network performance optimization method not only close to the actual but also versatility, there are many aspects which need to be studied further. In older to achieve a tradeoff among the network comprehensive performance and the network survival time, in this paper, we use gain and costs to Characterization the whole network performance, and the comprehensive performance optimization evaluation model based on complex network theory is proposed. Additionally, we also give the relevant optimization algorithm, and this algorithm offers significant complexity reduction when applied in practical scenarios. Simulation results show that the typical WSNs has the best network average degree to making the network obtain maximum income.