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.
出处
《微电子学与计算机》
CSCD
北大核心
2012年第10期18-21,共4页
Microelectronics & Computer
基金
国家自然科学基金(61100150
60903165
61070015
30970191)
广东省自然科学基金项目(S2011040003843
10351806001000000
S2011040004528
)
广州市属高校科研项目(10A09)
