节能问题是无线自组网络MANET（Mobile Ad hoc Networks）中的核心和关键问题,同时也面临巨大挑战。结合蚁群理论,通过模拟生物界蚂蚁的信息激素跟踪机制和进一步的行为,提出了一种新的基于蚁群理论的无线网节能机制来延长网络的生命周期。最后通过这协议和单纯的AODV协议做了仿真试验比较,证明其在节能和延长生命周期方面的有效性。 相似文献
To prevent the same known vulnerabilities from affecting different firmware, searching known vulnerabilities in binary firmware across different architectures is crucial. Because the accuracy of existing cross-architecture vulnerability search methods is not high, we propose a staged approach based on support vector machine (SVM) and attributed control flow graph (ACFG) at the function level to improve the accuracy using prior knowledge. Furthermore, for efficiency, we utilize the k-nearest neighbor (kNN) algorithm to prune and SVM to refine in the function prefilter stage. Although the accuracy of the proposed method using kNN-SVM approach is slightly lower than the accuracy of the method using only SVM, its efficiency is significantly enhanced. We have implemented our approach CVSkSA to search several vulnerabilities in real-world firmware images. The experimental results show that the accuracy of the proposed method using kNN-SVM approach is close to the accuracy of the method using only SVM in most cases, while the former is approximately four times faster than the latter.
