传输功率的调整是当前无线传感器网络进行低功耗优化设计的主要手段之一,但较低的传输功率却叉很难保证连通性(因外围节点干扰引入的随机性),较大的传输功率不仅增加能耗而且会对邻近通信节点带来干扰,如果简单地在网络中进行传输功率调整,极易造成相邻通信子网传输功率的相互攀升,从而极大地降低了传输效能。该文从干扰模型分析出发,给出了基于平均干扰下的最优传输功率计算方法,考虑到网络环境的时变性,将该优化传输功率与自适应速率控制机制结合以提高传输效能。仿真结果表明,相比于MCP协议和Basic协议,基于平均干扰下的优化传输功率机制在单比特能耗及平均吞吐率上能够得到更好的性能折中.
Low-power design is one of the most important issues in Wireless Sensor Networks (WSNs), where nodes are likely to be largely scattered with constrained battery energy .Transmitting power control is a simple method to make the power consumption down, while network connectivity and excessive interferences should be considered. In this paper ,an optimal Transmitting power is derived by considering average interferences and network connectivity. To make the network energy efficient, we present a novel protocol via Adaptive Rate Control with Optimal Power (ARCOP). Compared with MCP(Maximum Common Power ,e.g. 802.11DCF with fixed maximum power) and Basic protocol, Simulation results show that the new protocol can achieve high average throughput while minimizing Energy Consumption Per Useful Bit (ECPUB).