机构地区: 广州大学计算机科学与教育软件学院
出 处: 《微电子学与计算机》 2012年第10期18-21,共4页
摘 要: 文中提出了一种有效的基于RSSI的无线传感网节点自适应定位优化算法.该算法用对具体环境条件下RSSI测距的自适应校正及误差修正来提高测距精度,基于小世界网络理论遴选侯选锚节点,结合MDS-MAP算法进行定位.与同类算法相比,该算法能适应不同的应用环境,且定位稳定性和精确性均显著提高. This paper presented a novel self-adapting localization algorithm in wireless sensor networks based on optimized RSSI and MDS-MAP. The proposed algorithm uses two way to enhance the precision of localization: (1) an effective method to reduce the error of RSSI-measured distance had been designed; (2) the Small-World-Network theory had been employed to guide the selection of beacon nodes from normal nodes in WSN. On the base of aforementioned steps, we use MDS-MAP algorithm to carry out the localization tasks. Simulation experiments show that sound improvement on accuracy, self-adaptive, and stability has been achieved.
领 域: [自动化与计算机技术] [自动化与计算机技术]