无线传感器网络本质上是能量受限的,而且,传感器节点扮演着数据收集和数据转发的双重角色.本文提出了怎样分配传感器节点的功率用于转发其它节点的数据.在节点的转发功率分配比确定后,研究了采用价格作为一种方法,刺激节点与它到数据采集节点路径上的所有节点合作.通过把无线传感器网络中数据收集和传输抽象为一个网络效用最大化问题,通过采用对偶分解技术,提出了一种迭代价格与联合功率控制和速率调整的分布式算法.实验表明,该算法能提高系统的性能,同时降低功率的消耗.
Wireless sensor networks (WSNs) are energy-constrained in natured,moreover, sensor nodes play the dual role of data originator and data relaying.In this paper, a novel method how to allocate the power of sensor nodes for forwarding traffic of other nodes was proposed.After forwarding power ratios of nodes are decided, we consider pricing as a mean to stimulate cooperation between a node and other nodes along its routing path to a sink node. By formulating the problem of data sensing and transport in WSNs as network utility maximization (NUM) problem, an iterative price and joint power control and rate adaptation algorithm was presented by using dual decomposition techniques. Numerical results show that the proposed price mechanism can improve system performance while reducing power consumption.