A Novel Congestion Avoidance Technique to Optimize the QoS Parameters in Wireless Sensor Network Using Semi-Superwised Machine Learning
Congestion control in Wireless Sensor Network is a significant area which has to be addressed for smooth and seamless packet transfer from source to the destination node. Existing literatures have deployed various congestion control schemes to reduce the congestion in network., which are based on congestion and their severity, the remedial mechanisms are applied to overcome the problem of congestion. The congestion can be caused because of Channel occupancy, high reporting rate and quick buffer occupancy. Various techniques have been proposed and implemented to overcome the congestion problem which manages channel occupancy, reporting rate and buffer occupancy. Hence it motivates to propose some alternative technique which avoids the congestion itself. In this paper, congestion avoidance technique is proposed, as it causes severe problem in the network performance such as packet loss, wastage of processing power, inefficient resource utilization, and other Quality of Service parameters. Here the proposed technique named Congestion Avoidance Technique (CAT) a buffer management technique. Every node is attached with input and output buffer which has limited capacity. This technique efficiently manages the buffers of sensing nodes by continuously monitoring the buffer occupancy. CAT always ensures that the buffer contents are always in between allowable congestion window that is between PTM and LTM marking of the buffer. Here proposed technique avoids the congestion in WSN and ultimately increase the QoS parameters of the network. CAT is implemented using experimental scenario in NS2 and the results are analyzed which shows that the buffer is always occupied between congestion windowongestion control in Wireless Sensor Network is a significant area which has to be addressed for smooth and seamless packet transfer from source to the destination node. Existing literatures have deployed various congestion control schemes to reduce the congestion in network., which are based on congestion and their severity, the remedial mechanisms are applied to overcome the problem of congestion. The congestion can be caused because of Channel occupancy, high reporting rate and quick buffer occupancy. Various techniques have been proposed and implemented to overcome the congestion problem which manages channel occupancy, reporting rate and buffer occupancy. Hence it motivates to propose some alternative technique which avoids the congestion itself. In this paper, congestion avoidance technique is proposed, as it causes severe problem in the network performance such as packet loss, wastage of processing power, inefficient resource utilization, and other Quality of Service parameters. Here the proposed technique named Congestion Avoidance Technique (CAT) a buffer management technique. Every node is attached with input and output buffer which has limited capacity. This technique efficiently manages the buffers of sensing nodes by continuously monitoring the buffer occupancy. CAT always ensures that the buffer contents are always in between allowable congestion window that is between PTM and LTM marking of the buffer. Here proposed technique avoids the congestion in WSN and ultimately increase the QoS parameters of the network. CAT is implemented using experimental scenario in NS2 and the results are analyzed which shows that the buffer is always occupied between congestion window.