Based on the research of complex network invulnerability

The actual multi-agent system in a variety of complex network environment, the agent itself may be due to external attack led to the suspension of local exchange of information, The local information exchange between agents is also due to transmit and receive information associated with the communication time delay. In this paper, we study degree distribution entropy and the average two-step degree not only can be used as a measure of the network survivability but also can help to optimize the network survivability. Than degree distribution entropy, the average two-step degree as a complex network heterogeneity measure not only contains the diversity of degree distribution information, and contains the information of network topology. Therefore, the average two-step degree is a better measures of the heterogeneity of complex networks. In addition we can also use the most commonly used method, namely by protecting key nodes increasing network survivability. Also can increase the link redundancy between the key nodes, improve network survivability.