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Distributed Optimal Power and Rate Control in Wireless Sensor Networks

机译:无线传感器网络中的分布式最优功率和速率控制

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With the rapid development of wireless sensor networks, reducing energy consumption is becoming one of theimportant factors to extend node lifetime, and it is necessary to adjust the launching power of each node becauseof the limited energy available to the sensor nodes in the networks. This paper proposes a power and rate controlmodel based on the network utility maximization (NUM) framework, where a weighting factor is used to reflectthe influence degree of the sending power and transmission rate to the utility function. In real networks, nodesinterfere with each other in the procedure of transmitting signal, which may lead to signal transmission failureand may negatively have impacts on networks throughput. Using dual decomposition techniques, the NUM problem isdecomposed into two distributed subproblems, and then the conjugate gradient method is applied to solve theoptimization problem with the calculation of the Hessian matrix and its inverse in order to guarantee fast convergenceof the algorithm. The convergence proof is also provided in this paper. Numerical examples show that the proposedsolution achieves significant throughput compared with exiting approaches.
机译:随着无线传感器网络的快速发展,降低能耗正在成为扩展节点寿命的同一因素之一,并且需要调整每个节点的发射功率,因为​​网络中的传感器节点可用的有限能量。本文提出了一种基于网络实用程序最大化(NUM)框架的功率和速率控制模型,其中加权因子用于将发送功率和传输速率的影响程度反映到实用程序功能。在真实网络中,在发射信号的过程中彼此的节点相互作用,这可能导致信号传输故障可能对网络吞吐量产生负面影响。使用双分解技术,NUM问题被分解为两个分布式子问题,然后应用共轭梯度方法以解决Hessian矩阵的计算及其反向的优化问题,以保证算法的快速融合。本文还提供了收敛性证明。数值例子表明,与退出方法相比,该求解概率达到了显着的吞吐量。

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