发表机构
South East Technological University; LUT（东南理工大学; 拉彭兰塔理工大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对物联网传感器网络访问控制中受损节点占用信道的问题，提出信誉分级小波包子树分配方案，可降低全局决策错误概率，性能优于固定分配WPDM、OFDM及密码学重新认证。
AI 中文摘要
物联网（IoT）传感器网络的访问控制通常作用于物理层之上：融合中心决定接受哪些报告，而受损节点的无线电仍会占用共享信道。本文将权限置于波形层面：小波包分复用（WPDM）将信道构建为正交脉冲的二叉树，每个传感器的信誉决定其可使用子树的深度：可信传感器拥有宽子带，低信誉传感器拥有窄子带，融合中心会逐一收回这些窄子带。我们证明，在完美定时下该分配方案可精确隔离传感器，而存在定时偏移时，低通叶节点的能量泄漏每经过一个树层级会变为原来的四分之一。在脉冲A类噪声中，针对子带外传输的局部最优检测器会按此预测泄漏值为每个叶节点加权。我们界定了限制受损节点所需的时间，并推导了最优树深度。仿真结果显示，当被降级节点在其分配范围内发射时，该方案相较于固定分配WPDM、相同信誉层级的OFDM，全局决策错误概率降低68%；相较于密码学重新认证，当超过24%的传感器受损时，该方案的错误概率降低44%。
英文摘要
Access control in Internet of Things (IoT) sensor networks usually acts above the physical layer: the fusion centre decides which reports to accept, while the radio of a compromised node keeps occupying the shared channel. This paper places the entitlement in the waveform: wavelet packet division multiplexing (WPDM) builds the channel as a binary tree of orthogonal pulses, and each sensor's reputation sets the depth of the subtree it may use: trusted sensors hold wide subbands, and low-trust sensors hold narrow subbands that the fusion centre withdraws one at a time. We prove that the allocation isolates sensors exactly under perfect timing, and that under a timing offset the energy leaking out of the lowpass leaf falls fourfold per tree level. The locally optimum detector of out-of-subtree transmission in impulsive Class-A noise weights each leaf in proportion to this predicted leakage. We bound the time needed to confine a compromised node and derive the optimal tree depth. In simulation, with demoted nodes radiating within their allocation, the scheme lowers the probability of a false global decision by 68% relative to fixed-allocation WPDM and to OFDM with the same reputation tiers, and by 44% relative to cryptographic re-attestation, which leads once more than 24% of the sensors are compromised.
Comments6 pages
