Feedback congestion control protocol for wireless sensor networks

More attention has been paid to congestion control in the emerging area of wireless sensor network (WSN). However, most research works in the past stayed at the level of the current algorithms design or modification, and seldom sought solutions on the viewpoint of architecture. In this work, we propose innovative model and congestion control algorithm for wireless sensor networks based on feedback control, which will be referred to as Feedback Congestion Control (FBCC). The algorithm has been designed by exploiting linear discrete time control theory. A feedback control scheme is set up between children node and father node. The FBCC detects the onset of congestion using queue length. Then, an active flow control scheme selects suitable incoming traffic which is enforced by the newly proposed active scheme. Closed-loop stability of the proposed hop-by-hop congestion control is demonstrated by using the Lyapunov-based approach. The scheme makes congestion control in WSN rise to theoretical height. Simulation results show that the FBCC reduces congestion and improves performance over Congestion Detection and Avoidance (CODA). The results of simulations validate FBCC can avoid and alleviate congestion, and has reasonable effects of reliability,low energy consumption and high throughout.