基于联合退避-功率感知机制的物联网节点信息防碰撞算法
发布时间:2018-10-09 16:46
【摘要】:物联网(IoT)节点防碰撞算法难以解决IoT节点数据冲突,造成严重的信号干涉。为此,提出一种新的物联网节点信息防碰撞算法。通过构建射频识别信号的离散正交调制与解调机制,降低节点间信号因互相干涉而导致的信道碰撞,建立联合退避-功率感知机制,定义节点数据退避防冲撞规则,以改善节点信号发射功率的波动幅度。实验结果表明,与ColorWava算法和信息决策控制算法相比,该算法具有更长的节点信号识别距离与更低的信道碰撞概率。
[Abstract]:The collision prevention algorithm of (IoT) nodes in the Internet of things is difficult to solve the data conflicts of IoT nodes, resulting in serious signal interference. Therefore, a new information collision prevention algorithm for Internet of things (IoT) nodes is proposed. By constructing discrete quadrature modulation and demodulation mechanism of radio frequency identification (RFID) signals, the channel collision caused by interference between nodes is reduced, a joint Backoff / power sensing mechanism is established, and the rules of data collision avoidance and collision prevention are defined. In order to improve the node signal transmission power fluctuation amplitude. The experimental results show that compared with the ColorWava algorithm and the information decision control algorithm, the algorithm has longer recognition distance and lower channel collision probability.
【作者单位】: 河南工程学院计算机学院;河南工业大学信息科学与工程学院;
【基金】:国家“863”计划项目(2012AA101008) 河南省高等学校重点科研项目(16B520007)
【分类号】:TN929.5;TP391.44
[Abstract]:The collision prevention algorithm of (IoT) nodes in the Internet of things is difficult to solve the data conflicts of IoT nodes, resulting in serious signal interference. Therefore, a new information collision prevention algorithm for Internet of things (IoT) nodes is proposed. By constructing discrete quadrature modulation and demodulation mechanism of radio frequency identification (RFID) signals, the channel collision caused by interference between nodes is reduced, a joint Backoff / power sensing mechanism is established, and the rules of data collision avoidance and collision prevention are defined. In order to improve the node signal transmission power fluctuation amplitude. The experimental results show that compared with the ColorWava algorithm and the information decision control algorithm, the algorithm has longer recognition distance and lower channel collision probability.
【作者单位】: 河南工程学院计算机学院;河南工业大学信息科学与工程学院;
【基金】:国家“863”计划项目(2012AA101008) 河南省高等学校重点科研项目(16B520007)
【分类号】:TN929.5;TP391.44
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