当前位置: X-MOL 学术Wireless Pers. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Symmetric Algorithm for Detection of Coverage Hole in Wireless Sensor Network
Wireless Personal Communications ( IF 1.9 ) Pub Date : 2021-01-19 , DOI: 10.1007/s11277-021-08097-9
Feifei Wang , Haifeng Hu

For the problems of traditional overburden hole detection methods, such as overtime, low accuracy and high running cost, etc. A multi factor reliable coverage hole detection method based on LEACH algorithm is proposed. Based on the analysis of the QoS architecture of wireless sensor networks and the research of representative network layer symmetry protocols, a symmetric network model is constructed according to the selection of gateway performance parameters, gateway selection criterion function and symmetry criterion, and a symmetric criterion design and optimization strategy is given. It uses this strategy to improve LEACH algorithm in three aspects. Two reliability optimization factors are added to the similarity calculation of coverage hole detection, which are node intrusion optimization factor and multipath transmission optimization factor respectively. Multipath transmission optimization factor is used in data transmission. In hostile environments, in order to avoid a large number of malicious nodes interfering with real data, the data containing noise should be filtered and processed. Then, the similarity is calculated by multi-path transmission optimization factor, and the coverage holes of wireless sensor networks are detected by weighted average. The experimental results show that the proposed method takes less time to detect the covering holes, which has higher detection accuracy and lower operation cost.



中文翻译:

无线传感器网络中覆盖孔的对称检测算法

针对传统的覆盖孔检测方法存在的问题,如加班,精度低,运行成本高等。提出了一种基于LEACH算法的多因素可靠覆盖孔检测方法。在分析无线传感器网络的QoS架构和代表性网络层对称协议的基础上,根据网关性能参数的选择,网关选择准则的功能和对称准则以及对称准则的设计,建立了对称网络模型。并给出了优化策略。它使用此策略从三个方面改进LEACH算法。在覆盖孔检测的相似度计算中增加了两个可靠性优化因素,分别是节点入侵优化因子和多径传输优化因子。多路径传输优化因子用于数据传输。在敌对环境中,为了避免大量恶意节点干扰真实数据,应对包含噪声的数据进行过滤和处理。然后,通过多径传输优化因子计算相似度,并通过加权平均值检测无线传感器网络的覆盖孔。实验结果表明,该方法检测遮盖孔的时间较少,具有较高的检测精度和较低的运行成本。为了避免大量恶意节点干扰真实数据,应对包含噪声的数据进行过滤和处理。然后,通过多径传输优化因子计算相似度,并通过加权平均值检测无线传感器网络的覆盖孔。实验结果表明,该方法检测遮盖孔的时间较少,具有较高的检测精度和较低的运行成本。为了避免大量恶意节点干扰真实数据,应对包含噪声的数据进行过滤和处理。然后,通过多径传输优化因子计算相似度,并通过加权平均值检测无线传感器网络的覆盖孔。实验结果表明,该方法检测遮盖孔的时间较少,具有较高的检测精度和较低的运行成本。

更新日期:2021-01-20
down
wechat
bug