摘要
针对现实应用中各种不利因素干扰而严重影响无线传感网络的定位性能的问题,提出一种鲁棒安全定位算法。首先在Beta信誉系统的基础上建立信任评估框架;然后,传感器节点在多跳通信范围内将锚节点的最终信任值与所存储的阈值进行比较;最后,采用基于泰勒级数展开的加权最小二乘法估算普通传感器节点的坐标。仿真结果验证了该算法的有效性和鲁棒性,相比其他几种定位算法,该算法具有更高的定位精度,不仅能够很好地识别出无线传感网络中的恶意锚节点,同时大大地提高了节点自定位技术的定位精度。
In light of the problem that in realistic applications, a variety of adverse factors interfere and seriously impact the localisation performance of wireless sensor networks, we propose a robust secure localisation algorithm. First, it establishes the trust evaluation framework on the basis of Beta reputation system. Then, the sensor nodes compare the final trust value of anchor nodes with their stored threshold within the communication scope of multiple hops. Finally, it estimates the coordinates of common sensor nodes by employing the weighted least squares method expanded based on Taylor-series. Simulation result validates the effectiveness and robustness of the proposed algorithm, com- paring with several other localisation algorithms, this one achieves higher localisation accuracy, apart from well identifying the malicious anchor nodes in WSN, the proposed algorithm also significantly improves the localisation accuracy of the self-localisation technology of the node.
出处
《计算机应用与软件》
CSCD
2015年第5期127-131,156,共6页
Computer Applications and Software
关键词
无线传感网络
Beta信誉系统
鲁棒安全
自定位
恶意攻击
泰勒级数
Wireless sensor networks Beta reputation system Robust security Self-localisation Malicious attacks Taylor-series