OPTIMIZING CONGESTION COLLISION USING EFFECTIVE RATE CONTROL WITH DATA AGGREGATION ALGORITHM IN WIRELESS SENSOR NETWORK

Abstract

Wireless sensor networks (WSNs) offered promising opportunities for the development of ubiquitous and pervasive computing. However, the implementation of WSNs encountered many barriers and problems. These included the dynamic nature of network topology and the occurrence of congestion, both of which had a detrimental impact on network capacity utilization and overall performance. In WSN systems, the transmission of packets occurs from nodes with low congestion levels to nodes with high congestion levels, resulting in a decrease in energy levels for nodes located in close proximity to the sink nodes. The effective rate control with data aggregation (ERCDA) strategy employs an efficient data aggregation technique to enhance the equitable utilization of battery power across all nodes involved. The proposed methodology is executed on the NS2.35 platform and evaluated in terms of throughput, packet loss, end-to-end delay, and source data transmission rate adjustment. According to simulations, it has been shown that the use of ERCDA exhibits a higher degree of efficacy in comparison to conventional congestion-handling approaches.