Congestion Control in Wireless Sensor Networks Using Fuzzy C Means Algorithm

Abstract

Congestion control schemes can be divided into two categories: centralized speed control scheme and distributed speed control scheme. CADC's congestion control process includes maximum tolerances and distortions (u, u) and adaptive adjustment of the corresponding congestion control. CADC involves three processes. (1) Congestion is detected by comparing the data arrival rate u and the output transmission rate for node u. (2) When congestion is detected, CADC performs congestion management to resolve congestion (3). At the same time, make sure that the data accuracy is compliant with regulations to ensure that the accuracy requirements are not violated. Many congestion control methods have been proposed to reduce congestion and increase estimation accuracy, but the estimation error also increases due to the reduction of data samples. The main purpose of these operations is to reduce the amount of data transmitted over the network and the analysis of link failures.