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首页> 外文期刊>IEEE sensors journal >On Network Lifetime Expectancy With Realistic Sensing and Traffic Generation Model in Wireless Sensor Networks
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On Network Lifetime Expectancy With Realistic Sensing and Traffic Generation Model in Wireless Sensor Networks

机译：无线传感器网络中基于感知和流量生成模型的网络寿命期望

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摘要

Wireless sensor networks (WSNs), which are used in a wide variety of mission-critical applications, are comprised of sensor nodes with limited battery power. The feasibility of such applications is highly influenced by the longevity or sustainability of these networks. Improvement of energy efficiency and estimation of network lifetime are important issues in these energy constrained networks. In this paper, we present a probabilistic model for estimating the network lifetime of a sensor network. The traffic generation model is designed for irregular surfaces while combining the Elfes sensing model and event generation model. A discrete radio model is considered in this paper for better energy efficiency. Two different scenarios, such as, single-hop and multi-hop networks are analyzed with the proposed model. The likelihood of achieving the desired network lifetime with the proposed model is examined. Extensive simulations are done taking the topology from real-sensor network testbeds. We also estimate the packet loss rates and the results also confirm the accuracy and energy efficiency of the proposed model.
机译：无线传感器网络（WSN）用于各种关键任务应用，由电池电量有限的传感器节点组成。这些应用程序的可行性在很大程度上受这些网络的使用寿命或可持续性的影响。能源效率的提高和网络寿命的估计是这些能源受限网络中的重要问题。在本文中，我们提出了一种概率模型，用于估计传感器网络的网络寿命。流量生成模型设计用于不规则表面，同时结合了Elfes感应模型和事件生成模型。本文考虑了离散无线电模型以提高能源效率。所提出的模型分析了两种不同的情况，例如单跳和多跳网络。研究了使用提出的模型实现所需网络寿命的可能性。从真实传感器网络测试平台获取拓扑，进行了广泛的仿真。我们还估计了丢包率，结果也证实了所提出模型的准确性和能效。

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