缓冲区受限无线传感器网络中的多探测机会路由
Multi-Probing Opportunistic Routing in Buffer-Constrained Wireless Sensor Networks.
Multi-Probing Opportunistic Routing in Buffer-Constrained Wireless Sensor Networks.
无线传感器网络(WSN)是现代泛在感知系统的基本构建模块。在许多实际的无线传感器网络部署中,感知设备的缓冲区容量受到严格限制,而设备移动性又导致拓扑去中心化。这些特性给无线传感器网络中可靠且及时的数据传输带来了重大挑战。本文提出了一种面向缓冲区受限无线传感器网络的通用多探测机会路由策略,旨在现实感知设备限制条件下提升传输机会的利用率。借助排队论和马尔可夫链理论,我们刻画了传感器缓冲区空间的复杂排队过程,从而能够确定缓冲区占用状态的极限分布。在此基础上,我们建立了一个理论性能建模框架,用于评估采用多探测机会路由的无线传感器网络的基本性能指标,包括每流吞吐量和期望端到端时延。该性能建模框架的有效性通过网络仿真得到了验证。此外,大量数值结果全面展示了网络性能行为,并揭示了一些具有洞察力的发现,可为无线传感器网络的配置与运行提供重要指导。
Wireless sensor networks (WSNs) are fundamental building blocks of modern ubiquitous sensing systems. In many practical WSN deployments, sensing devices are tightly constrained in buffer capacity, while device mobility leads to topology decentralization. These characteristics pose significant challenges for reliable and timely data delivery across WSNs. In this paper, we propose a general multi-probing opportunistic routing strategy tailored for buffer-constrained WSNs, aiming to enhance transmission opportunity utilization under realistic sensing device limitations. With the help of Queueing Theory and Markov Chain Theory, we capture the sophisticated queueing processes for the buffer space of sensors, which enables the limiting distribution of the buffer occupation state to be determined. On this basis, we develop a theoretical performance modeling framework to evaluate the fundamental performance metrics of the WSN with the multi-probing opportunistic routing, including the per-flow throughput and the expected end-to-end delay. The validity of the performance modeling framework is verified by network simulations. Moreover, extensive numerical results demonstrate the network performance behaviors comprehensively and reveal some insightful findings that can serve as important guidelines for the configuration and operation of WSNs.
Nannan Sun, Shouxin Cao, Xiaoyuan Liu, Yue Gao, Yang Xu, Jia Liu. Multi-Probing Opportunistic Routing in Buffer-Constrained Wireless Sensor Networks.. Sensors (Basel, Switzerland). 2026; doi:10.3390/s26082295.
Nannan Sun, Shouxin Cao, Xiaoyuan Liu, Yue Gao, Yang Xu, Jia Liu (2026). Multi-Probing Opportunistic Routing in Buffer-Constrained Wireless Sensor Networks.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26082295
Nannan Sun, Shouxin Cao, Xiaoyuan Liu, Yue Gao, Yang Xu, Jia Liu. Multi-Probing Opportunistic Routing in Buffer-Constrained Wireless Sensor Networks.[J]. Sensors (Basel, Switzerland), 2026 doi:10.3390/s26082295.
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