Since satellite network traffic is self-similar and long-range-dependent (LRD), after analyzing current network traffic forecasting models, a satellite network traffic combined forecasting model that is based on the decomposition fruit fly optimization algorithm -extreme learning machine (FOA-ELM) is proposed. This forecasting model decomposes LRD network traffic into multiple short-range dependent (SRD) components via empirical mode decomposition (EMD), applies the FOA-ELM forecasting model to the decomposed high-frequency components, and applies the ELM forecasting model to lowfrequency components. The simulation results show that the forecasting model can improve the forecasting accuracy and forecasting speed, reduce the complexity, and achieve effective and efficient forecasting of satellite network traffic. INDEX TERMS Self-similarity, forecasting model, empirical mode decomposition, fruit fly optimization, extreme learning machine.

No abstract

The Congestion in wireless sensor networks can lead to the loss and retransmissions of packets, and excessive energy consumption. Since network congestion can deteriorate the throughput, the quality of service (QoS) in data transmission, and network lifetime, congestion control is a critical problem. In this paper, the data transmission process is firstly presented based on the data type. The cooperation game theory is used to model the transfer behavior of different type data. Further, a cooperation game based congestion control (CGCC) is proposed. The different type data cooperates with each other to use link capacity. And then Ant colony Routing algorithm combined with CGCC (ARCGCC) is designed. According to the congestion degree and QoS requirement of each type data, the routing path is built in the routing algorithm. When congestion is detected, the congestion information is exchange. In the light of the data traffic and priority, the nodes adjust the sending rate to the next hop node to mitigate the congestion. Experimental results show that our mechanism and algorithm have better performance than some other mechanism and algorithms in terms of the throughput, reliability, delay, and energy consumption.INDEX TERMS Wireless senor networks, congestion control, game theory, routing algorithm, QoS.

No abstract

No abstract