A Wireless Sensor Network (WSN) is a network which is made up of resource-constrained wireless sensors with restricted capabilities. Quality of Service in Wireless Sensor Networks is still an open area of research, due to the fact that several problems need to be solved using resource constrained WSN nodes. The probability of congestion occurrence and packet loss in Wireless Sensor Networks is high, which makes it difficult to satisfy different qualities of service requirements. Congestion in WSN needs to be controlled to improve the quality of service such as throughput and packet loss ratio along with the packet delay. In particular, we proposed the use of evolutionary game theory in the design of a QoS-aware Intra-node congestion control protocol. Intra-node congestion control protocol is a non-cooperative asymmetric game that adjusts the queue accepting rate and queue service rate such that higher priority classes have lower loss rate and lower queuing delay. Simulation results show that the proposed protocol decreases packet dropping and improves network throughput and network quality of service performance.

无线传感器网络（WSN）是由功能受限的资源受限的无线传感器组成的网络。由于需要使用资源受限的WSN节点解决一些问题，因此无线传感器网络中的服务质量仍然是一个开放的研究领域。无线传感器网络中发生拥塞和丢包的可能性很高，这使得难以满足不同的服务质量要求。需要控制WSN中的拥塞以改善服务质量，例如吞吐量和丢包率以及包延迟。特别是，我们提出了在具有QoS意识的节点内拥塞控制协议的设计中使用进化博弈论的方法。节点内拥塞控制协议是一种不合作的非对称游戏，它会调整队列接受率和队列服务率，以使较高优先级的类具有较低的丢失率和较低的排队延迟。仿真结果表明，该协议减少了丢包，提高了网络吞吐量和网络服务质量。