In wireless sensor networks, sensors are extremely vulnerable to false positive and false negative attacks due to their stringent energy and computational constraints. Several en-route filtering schemes mainly focus on saving energy through early detection of false data within a short distance against these attacks; however, they cannot immediately block the false data injected by compromised nodes. A security scheme uses context-aware architecture for a probabilistic voting–based filtering scheme to detect the compromised nodes and block the injection of false data, unlike security protocols. Although these schemes effectively obstruct the false data forwarding, they cannot make any detour around the compromised node to avoid it during data forwarding. In this article, we propose a discrete event simulation–based energy efficient path determination scheme that takes a detour around the compromised node against the attacks. Our proposed scheme extracts candidate paths considering the network status and selects a path with the highest energy efficiency from among the candidates using discrete event simulation. Simulation results indicate that the proposed scheme provides energy savings of up to 12% while maintaining the security strength against the two attacks compared to the existing schemes.

中文翻译：

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传感器网络中基于概率投票的过滤方案的基于离散事件模拟的节能路径确定方案

在无线传感器网络中，由于其严格的能量和计算限制，传感器极易受到误报和误报攻击。几种航路过滤方案主要侧重于通过早期检测短距离内的虚假数据来抵御这些攻击，从而节省能源；但是，他们无法立即阻止受感染节点注入的虚假数据。与安全协议不同，安全方案使用上下文感知架构作为基于概率投票的过滤方案来检测受损节点并阻止虚假数据的注入。尽管这些方案有效地阻止了虚假数据转发，但它们在数据转发过程中无法绕过受感染节点来避免它。在本文中，我们提出了一种基于离散事件模拟的节能路径确定方案，该方案绕过受损节点以抵御攻击。我们提出的方案考虑网络状态提取候选路径，并使用离散事件模拟从候选路径中选择具有最高能量效率的路径。仿真结果表明，与现有方案相比，所提出的方案可节省高达 12% 的能源，同时保持对两种攻击的安全强度。