摘要
无线传感器网络(Wireless Sensor Networks,WSNs)主要应用在恶劣的环境或人员无法到达的区域。为了满足及时获得目标区域内数据信息的要求,并针对蚁群算法(Ant Colony Optimization,ACO)的特点,提出了一种基于极角差的改进蚁群算法(Polar Angle Difference on ACO,PAD-ACO)。仿真表明,与ACO算法相比,PAD-ACO算法使移动Agent到达目标区域的跳数明显减少,有效的保证了系统查询数据的及时性。
Wireless sensor network(WSNs) is mainly employed in harsh environment which personnel cannot reach.In order to meet the requirements of timely access to data in the destination area information,the improved algorithm of Polar Angle Difference on ACO(PAD-ACO) is presented according to Ant Colony algorithm(ACO) characteristics.The Simulation results showed that hops making the mobile agent reach the target area by PAD-ACO algorithm decreased significantly compared by the ACO algorithm.Therefore,PAD-ACO algorithm effectively guarantees querying data system timeliness.
出处
《河北省科学院学报》
CAS
2012年第2期11-16,共6页
Journal of The Hebei Academy of Sciences