何以, 彭月橙, 齐建东, 张强宇. 传感网中面向连通性的无参数功率控制算法[J]. 微电子学与计算机, 2015, 32(12): 76-79,84.
引用本文: 何以, 彭月橙, 齐建东, 张强宇. 传感网中面向连通性的无参数功率控制算法[J]. 微电子学与计算机, 2015, 32(12): 76-79,84.
HE Yi, PENG Yue-cheng, QI Jian-dong, ZHANG Qiang-yu. A No-Parameters Power Control Algorithm Oriented Connectivity in Sensor Networks[J]. Microelectronics & Computer, 2015, 32(12): 76-79,84.
Citation: HE Yi, PENG Yue-cheng, QI Jian-dong, ZHANG Qiang-yu. A No-Parameters Power Control Algorithm Oriented Connectivity in Sensor Networks[J]. Microelectronics & Computer, 2015, 32(12): 76-79,84.

传感网中面向连通性的无参数功率控制算法

A No-Parameters Power Control Algorithm Oriented Connectivity in Sensor Networks

  • 摘要: 针对现有基于节点度的功率控制算法一般采用调节参数进行功率调整而导致的收敛速度慢和高能耗问题,通过引入网络节点分布密度ρ,结合无线传播模型和邻居数量估计模型,提出一种无参数影响的功率调整方案NPPC.仿真实验表明,NPPC使节点更快地达到期望邻居数量,有效地形成了连通网络,同时收敛速度和能量效率有显著提高,且在不同部署密度、规模的网络模型中均具有良好的稳定性.

     

    Abstract: In the view of current node-degree power control scheme based on parameters leading to slow convergence speed and high energy consumption, Node distribution density ρ is introduced, combining with wireless propagation model and the number of neighbors estimation model, proposed a no-parameters power control algorithm (NPPC) is given out. Simulation results demonstrate NPPC contributes nodes to reach the desired number of neighbors quickly and improves the convergence speed and energy efficiency. NPPC has excellent stability performance in different deployment densities network.

     

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