Route Aware Predictive Congestion Control Protocol for Wireless Sensor Networks

Carl Larsen, M. Zawodniok, S. Jagannathan
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引用次数: 13

Abstract

Congestion in wireless sensor networks (WSN) may lead to packet losses or delayed delivery of important information rendering the WSN-based monitoring or control system useless. In this paper a routing-aware predictive congestion control (RPCC) yet decentralized scheme for WSN is presented that uses a combination of a hop by hop congestion control mechanism to maintain desired level of buffer occupancy, and a dynamic routing scheme that works in concert with the congestion control mechanism to forward the packets through less congested nodes. The proposed adaptive approach restricts the incoming traffic thus preventing buffer overflow while maintaining the rate through an adaptive back-off interval selection scheme. In addition, the optimal routing scheme diverts traffic from congested nodes through alternative paths in order to balance the load in the network, alleviating congestion. This load balancing of the routes will even out the congestion level throughout the network thus increasing throughput and reducing end to end delay. Closed-loop stability of the proposed hop-by-hop congestion control is demonstrated by using the Lyapunov-based approach. Simulation results show that the proposed scheme results in reduced end-to-end delays.
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无线传感器网络的路由感知预测拥塞控制协议
在无线传感器网络中,拥塞可能导致丢包或重要信息延迟传递,使基于无线传感器网络的监控系统失效。本文提出了一种基于路由感知的预测拥塞控制(RPCC)分布式WSN方案,该方案使用一跳一跳的拥塞控制机制来维持期望的缓冲区占用水平,并使用一种与拥塞控制机制相结合的动态路由方案来通过拥塞较少的节点转发数据包。提出的自适应方法通过自适应后退间隔选择方案来限制传入流量,从而防止缓冲区溢出,同时保持速率。此外,最优路由方案通过备选路径将拥塞节点上的流量分流,以平衡网络负载,缓解拥塞。这种路由的负载平衡将使整个网络的拥塞水平均匀化,从而增加吞吐量并减少端到端延迟。利用基于lyapunov的方法证明了所提出的逐跳拥塞控制的闭环稳定性。仿真结果表明,该方案降低了端到端时延。
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