Cross-Layer Active Predictive Congestion Control Protocol for Wireless Sensor Networks

• DOI: 10.3390/s91008278
• Publication Date: 2009-10-20T12:53:19Z
• Authors: Jiangwen Wan; Xiaofeng Xu; Renjian Feng; Yinfeng Wu
• Keywords: Model Predictive Control; Cross-Layer Optimization

In wireless sensor networks (WSNs), there are numerous factors that may cause network congestion problems, such as the many-to-one communication modes, mutual interference of links, dynamic changes topology and memory-restrained characteristics nodes. All these result in a being more vulnerable to congestion. this paper, cross-layer active predictive control scheme (CL-APCC) for improving performance is proposed. Queuing theory applied CL-APCC analyze data flows single-node according its memory status, combined with analysis average occupied size local networks. It also analyzes current change trends forecast actively adjust sending rate node next period. order ensure fairness timeliness network, IEEE 802.11 protocol revised based on waiting time, number node's neighbors original priority packets, which dynamically adjusts node. The CL-APCC, evaluated by extensive simulation experiments. efficient solving WSNs. Furthermore, it clear proposed has an outstanding advantage terms lifetime