摘要
无线传感器网络中,感知节点的合理分布对于提高网络的感知能力和收集信息能力都具有重要作用。对于随机分布方式产生的感知网络,可以利用节点的移动性对特定感知节点的位置进行调整从而改善网络整体的感知覆盖范围。为此,针对无线传感器网络感知节点的分布优化问题进行了研究,给出了无线传感器网络覆盖控制模型,并提出了一种基于新量子遗传算法的分布优化机制。仿真结果表明新量子遗传算法在优化性能上优于传统遗传算法,能够有效提高网络整体的感知能力。
In the wireless sensor networks, the reasonable distribution of sensor nodes plays a vital role in the improvement of sensor ability, information aggregation ability and network survival . For the Sensor network constructed by randomly distribution, better sensor coverage could be achieved by topology ad- justment utilizing mobility of sensor node . To solve this problem we defined a coverage control model of the sensors network and a distribution optimization mechanism that based on the new quantum genetic al- gorithm was proposed. An advantage of the new quantum genetic algorithm over the conventional genetic algorithm was demonstrated in simulation result, thus it can enhance the sensation ability of the whole net- work effectively.
出处
《传感技术学报》
CAS
CSCD
北大核心
2008年第7期1259-1263,共5页
Chinese Journal of Sensors and Actuators
基金
辽宁省科技厅项目资助(2006220019
2005219005
2007231003)
辽宁省高校创新团队项目资助(2007T071)
关键词
无线传感器网络
感知节点分布优化
新量子遗传算法
覆盖度
wireless sensor network
optimization of sensation node distribution
new quantum genetic algorithm
degree of coverage
