Congestion avoidance in the Wireless sensor networks (WSN) has gained research interest since the sensors in the WSN send and receive data rigorously. The presence of the congestion in the networks increases the retransmission of the information which effectively affects the network lifetime. Various literature works have introduced the congestion avoidance schemes for the WSN aiming for the congestion free transmission. These methods are affected by various network parameters. In this work,

more »

... performance of the Adaptive Cuckoo Search Based Rate Optimization (ACSRO) algorithm is studied based on the various network parameters. The ACSRO algorithm alters the share rate of the nodes whenever the congestion is detected in the network. The ACSRO model modifies the step size of the existing cuckoo search (CS) algorithm with the fitness function. This work analyzes the performance of the ACSRO algorithm by modifying the congestion threshold parameter. The simulation results obtained show that the ACSRO model has better performance with the values of 0.92038, 0.31057, 0.89948, 0.86449, and 0.86737 for the throughput, delay, normalized packet loss, normalized queue size, and congestion level metrics at the congestion threshold of 0.018.