摘要
为了提高交通信息采集系统中无线传感网络数据传输可靠性和实时性,提出一种高性能拥塞控制(HPCC)算法。针对单一拥塞检测无法准确预测网络负载情况问题,该算法根据队列占用率和拥塞持续时间定义拥塞预知状态指数,并通过对拥塞状态指数的判断,来准确预测拥塞趋势。为了避免最优路径失效导致网络瘫痪的问题,该算法基于TOPSIS理论思想构建选择模型,在拥塞节点周围建立临时最佳路径进行分流调节并将节点拥塞程度、剩余能量、距离原路径跳数以及信道接入率作为下一跳节点选择依据。实验结果表明,该算法能有效准确地检测拥塞,减小延迟,降低了网络能耗,保证数据的逼真度。
A high-performance congestion control algorithm （HPCC） is proposed to improve the reliability and real-timeness of wireless sensor networks for traffic information collection system. The algorithm defines congestion predict state index according to queue occupancy rate and congestion duration for solving the problem of accurately predicting the network load in the single con- gestion detection condition. HPCC predicts the trend of congestion by the judgment of congestion state index. The algorithm builds selection model by the theory of TOPSIS to avoid network paralysis caused by the optimal path failure. It establishes the temporary best path around the congestion nodes to flow schedule and considers node congestion degree, the remaining energy, the distance from the original path hop and the channel access rate as the next-hop node selection. The experimental results show that the algorithm can more effectively and accurately detect congestion, reduce the delay and decrease the network energy con- sumption. So the fidelity of the data is obtained.
出处
《计算机与现代化》
2014年第4期59-63,共5页
Computer and Modernization
基金
国家自然科学基金资助项目(61263031)
关键词
无线传感网络
交通信息采集
分流调节
拥塞控制
信道接入率
wireless sensor network
traffic information collection
flow schedule
congestion control
channel access rate
