Multistage fuzzy logic congestion-aware routing using dual-stage notification and the relative barring distance in wireless sensor networks

摘要: Congestion management in a wireless sensor network (WSN) is key determinant of the quality service. causes data loss, reduced transmission rate, increased delays, and excess energy consumption. The latter has direct impact on tiny devices with limited resources processing, buffering, transmitting capabilities. In addition, WSN relies multiple packet relays between nodes, which inevitably results congestion near base station, whose neighboring nodes incur crowded traffic from multisource deliveries. Thus, this paper proposes novel routing method that minimizes congestion. adaptive strategy consists 3 main modules. First, an optimal notification level for queue control specified by using multistage fuzzy logic (MFL). resulting weights evaluated congestion-related parameters are then passed onto subsequent second module adjusts notification, makes more flexible to improve its discovery efficiency reduce chance loss during rerouting stage. Finally, we propose adjustment mechanism navigation technique based linear angular distances MFL create path assessment. Simulation demonstrate proposed outperforms state-of-the-art methods terms ratio, average hop count, lifetime, consumption metrics.