We address the problem of detecting the invasion of an intruder into a region of interest (ROI) which is monitored by a distributed bandwidth-constrained wireless mobile sensor network (WMSN). We design periodic trajectories for the mobile sensor nodes (MSNs) such that high detection probabilities are obtained while maintaining the MSNs’ energy consumption low. To reduce the transmission and processing burden on the MSNs, we propose an operation algorithm based on two modes, $surveying\,mode$ and $confirmation\,mode$ . In the former, to efficiently detect the intruder while using little mechanical energy, we optimize the surveying path such that the sensed area is maximized. During this mode, each MSN performs local detection and switches to the confirmation mode if and only if the intruder is suspected to be present. In the confirmation mode, each MSN collects further measurements over a predefined duration to reduce the detection uncertainly. A binary local hypothesis testing is performed at each MSN and only positive test statistics are transmitted to the FC where the ultimate decision is taken. Simulations results show the merits of the proposed two-mode operation algorithm in terms of detection performance and energy efficiency.

中文翻译：

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无线移动传感器网络中入侵检测的轨迹设计

我们解决了检测入侵者入侵到目标区域（ROI）的问题，该区域由分布式带宽受限的无线移动传感器网络（WMSN）监视。我们设计了移动传感器节点（MSN）的周期性轨迹，以便在保持MSN能耗低的同时获得较高的检测概率。为了减轻MSN的传输和处理负担，我们提出了一种基于两种模式的运算算法：$调查\，模式$ 和 $ confirmation \，mode $ 。在前者中，为了在不使用机械能的情况下有效地检测到入侵者，我们优化了测量路径，以使感测面积最大化。在此模式下，当且仅当怀疑存在入侵者时，每个MSN才会执行本地检测并切换到确认模式。在确认模式下，每个MSN在预定义的持续时间内收集更多的测量结果，以减少不确定性。在每个MSN上都执行二进制本地假设检验，并且只有肯定的检验统计信息会传输到FC并最终做出决定。仿真结果表明了所提出的两模式运算算法在检测性能和能效方面的优点。