摘要
根据煤矸石山的具体情况,结合无线传感器网络的特点,设计了一个无线传感器网络系统。通过采集对煤矸石自燃影响严重的信息数据,从而有效地监测煤矸石环境,以达到预防自燃现象的发生。同时针对于无线传感器网络能源受限的问题,采用遗传算法对网络进行了优化设计。仿真结果表明:该算法优化了能量管理,使网络负载达到平衡。
According to the specific circumstances of coal gangue hill, a wireless sensor networks system is designed combining with the characteristics of wireless sensor networks. It effectively monitors the coal gangue environment, through the acquisition of the information and data which seriously affects the combustion of coal gangue to prevent the occurrence of coal gangue combustion. Aimed at the energy-constrained problem of wireless sensor networks, network are optimized by the genetic algorithm. The simulation results show that the algorithm optimizes energy management, to balance network load.
出处
《传感器与微系统》
CSCD
北大核心
2010年第9期135-137,共3页
Transducer and Microsystem Technologies
关键词
煤矸石
无线传感器网络
遗传算法
coal gangue
wireless sensor networks(WSNs)
genetic algorithm