An Efficient Queue Length Based Estimated Rate for Congestion Control in Wireless Sensor Networks

Abstract

Over the last few years, Wireless Sensor Networks (WSNs) attained notice in analysts, producers and the clients of distantly tracking jobs as well as efficient information collecting within various environments. In recent years, energy efficiency and congestion control are the major concerns in applications of WSN. Clustering gives a valuable means of extending the duration of a wireless sensor network. Jamming within WSNs forms several concerns such as packet collision, buffer overflow, queuing delay which directs toward corrupt the Quality Of Service (QoS) factors as packet delivery ratio, end to end delay as well as Average energy consumption of the wireless node. The previous system designed an Adaptive Path Selection and Energy aware Cluster-based Routing (APSECR) protocol. However, the web outputs are yet further getting worse as a result of the web jamming. To solve this problem the proposed system designed a Congestion Control and Optimal Link Based Routing (CCOLR) mechanism for achieving traffic free packet transmission in WSN. In this proposed research work, the sensor nodes are grouped initially and an optimal cluster heads are selected by using Multi Objective Anarchic Society Optimization algorithm (MOASO). An optimal path selection is performed based on the link cost with includes Extended Medium Time Metric (EMTM) and throughput for inter cluster as well as intra cluster communications. After the selection of optimal paths, the congestion detection and control is performed based on the Queue Length based Estimated Rate (QLER) mechanism. In QLER approach, traffic rate for packet transmission has been modified depending upon the estimation rates.  Based on the estimation rates packets are transmitted to the destination. The investigational outcomes shows so as the planned structure attains enhanced functioning than the actual structure with respect to throughput, end to end delay, packet delivery ratio as well as energy consumption.