One of the major challenging issues of smartphone networks is congestion control due to the limitation of node resources. In this article, we focus on exploring context knowledge between nodes to control congestion. For this purpose, we first measure the effect of context information on congestion, and specify several major congestion factors. We then model the congestion control problem as multiple criteria decision making, in which the weight of each congestion factor is measured by the CRITIC method. Subsequently, we develop a context-aware congestion control approach (CACC) to determine the forwarding set, including those messages that incur the least congestion on the network. Extensive real-trace driven simulation is conducted, and the experimental results finally validate the efficiency of our proposed CACC.
ASJC Scopus subject areas
- Computer Science Applications
- Computer Networks and Communications
- Electrical and Electronic Engineering