Snapshot integration routing for high-resolution satellite sensor networks based on delay-tolerent network

With the rapid development of wireless sensor networks, satellite sensor networks (SSNs) and high-resolution SSNs (HRSSNs) have been proposed and demonstrated to have significant advantages over general networks. SSNs and HRSSNs have been applied in many fields, including national defense, military, national security, environmental monitoring, and traffic management. In addition, high-resolution satellites provide new technological means to improve the accuracy of environmental monitoring. However, huge amounts of data will cause problems in quality of service, such as the large and unbalanced load pressure of satellites, considerable packet loss rate, and network congestion. Hence, solving such problems and optimizing network performance are necessary. The snapshot integration routing (SIR) method is proposed in this study to redesign network topology and create a new static graph in HRSSNs, which are actually a type of delay-tolerant networks (DTNs). Our proposed SIR method, when used with a classical algorithm, can plan optimized routes and significantly improve the performance of HRSSNs in terms of successful data delivery rate, satellite storage, and network overhead compared with PRoPHET and contact graph routing(CGR). In periodic and predictable DTN-based HRSSNs, the proposed method can effectively avoid network congestion and maintain load balance.