Abstract

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.

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