Hierarchical Tree Based Congestion Control using Fuzzy Logic for Heterogeneous Traffic in WSN

Abstract

In wireless sensor networks (WSN), during congestion detection and control, the energy consumption is high. The packet drop ratio is in increased level causing decreased throughput. In order to overcome complexity in congestion control, in this paper, we propose a hierarchical tree based congestion control using fuzzy logic for heterogeneous traffic in WSN. Initially, the hierarchical tree is constructed using topology control algorithm. Then the congestion detection is performed using fuzzy logic technique based on the parameters such as packet service ratio, number of contenders and buffer occupancy. In order to control the congestion, a dynamic rate adaptation or adjustment is performed. If rate adjustment is not feasible, then source selects the alternate path from the established hierarchical tree. By simulation result, we show that the proposed technique reduces the energy consumption and increases the throughput.