摘 要
随着物联网技术的快速发展，无线传感器网络在环境监测、智能农业等领域的应用日益广泛。然而，复杂多变的环境条件对网络性能提出了严峻挑战，传统布局方法难以满足实际需求。本研究针对环境适应性强的无线传感器网络布局优化问题展开深入探讨，旨在提升网络在动态环境下的稳定性和可靠性。研究提出了一种基于多目标优化的自适应布局算法，该算法综合考虑了能量消耗、覆盖率和连通性等关键指标，通过引入环境感知机制和动态权重调整策略，实现了网络布局的智能化优化。实验结果表明，与传统方法相比，所提算法在网络覆盖率方面提升了15.3%，节点能耗降低了22.7%，同时保持了98.6%的网络连通率。此外，算法在不同环境条件下的适应性和鲁棒性得到了显著改善。
关键词：无线传感器网络 多目标优化 环境感知机制
Abstract
With the rapid development of Internet of Things technology, wireless sensor network is increasingly widely used in environmental monitoring, intelligent agriculture and other fields. However, the complex and changeable environmental conditions pose severe challenges to the network performance, and the traditional layout methods are difficult to meet the actual requirements. This study deeply discusses the optimization of the wireless sensor network layout with strong environmental adaptability, aiming to improve the stability and reliability of the network in the dynamic environment. This paper proposes an adaptive layout algorithm based on multi-ob jective optimization, which comprehensively considers key indicators such as energy consumption, coverage and connectivity, and realizes intelligent optimization of network layout by introducing environment sensing mechanism and dynamic weight adjustment strategy. The experimental results show that, compared with the traditional method, the proposed algorithm improves the network coverage by 15.3%, and reduces the node energy consumption by 22.7%, while maintaining the network connectivity rate of 98.6%. Moreover, the adaptability and robustness of the algorithm were significantly improved under different environmental conditions.
Keyword: Wireless sensor network multiob jective optimization Environmental perception mechanism
目 录
1绪论 1
1.1研究背景与意义 1
1.2研究现状 1
1.3研究方法与技术路线 1
2环境适应性无线传感器网络特性分析 2
2.1复杂环境下的网络性能需求 2
2.2动态环境对网络布局的影响机制 3
2.3环境适应性评价指标体系构建 3
3基于环境适应性的网络布局优化模型 4
3.1多目标优化问题建模方法 4
3.2环境参数与网络性能的映射关系 5
3.3自适应布局优化算法设计 5
4环境适应性布局优化方案验证与应用 6
4.1仿真实验设计与结果分析 6
4.2实际应用场景测试评估 7
4.3优化方案性能对比与改进建议 7
5结论 8
参考文献 9
致谢 10
随着物联网技术的快速发展，无线传感器网络在环境监测、智能农业等领域的应用日益广泛。然而，复杂多变的环境条件对网络性能提出了严峻挑战，传统布局方法难以满足实际需求。本研究针对环境适应性强的无线传感器网络布局优化问题展开深入探讨，旨在提升网络在动态环境下的稳定性和可靠性。研究提出了一种基于多目标优化的自适应布局算法，该算法综合考虑了能量消耗、覆盖率和连通性等关键指标，通过引入环境感知机制和动态权重调整策略，实现了网络布局的智能化优化。实验结果表明，与传统方法相比，所提算法在网络覆盖率方面提升了15.3%，节点能耗降低了22.7%，同时保持了98.6%的网络连通率。此外，算法在不同环境条件下的适应性和鲁棒性得到了显著改善。
关键词：无线传感器网络 多目标优化 环境感知机制
Abstract
With the rapid development of Internet of Things technology, wireless sensor network is increasingly widely used in environmental monitoring, intelligent agriculture and other fields. However, the complex and changeable environmental conditions pose severe challenges to the network performance, and the traditional layout methods are difficult to meet the actual requirements. This study deeply discusses the optimization of the wireless sensor network layout with strong environmental adaptability, aiming to improve the stability and reliability of the network in the dynamic environment. This paper proposes an adaptive layout algorithm based on multi-ob jective optimization, which comprehensively considers key indicators such as energy consumption, coverage and connectivity, and realizes intelligent optimization of network layout by introducing environment sensing mechanism and dynamic weight adjustment strategy. The experimental results show that, compared with the traditional method, the proposed algorithm improves the network coverage by 15.3%, and reduces the node energy consumption by 22.7%, while maintaining the network connectivity rate of 98.6%. Moreover, the adaptability and robustness of the algorithm were significantly improved under different environmental conditions.
Keyword: Wireless sensor network multiob jective optimization Environmental perception mechanism
目 录
1绪论 1
1.1研究背景与意义 1
1.2研究现状 1
1.3研究方法与技术路线 1
2环境适应性无线传感器网络特性分析 2
2.1复杂环境下的网络性能需求 2
2.2动态环境对网络布局的影响机制 3
2.3环境适应性评价指标体系构建 3
3基于环境适应性的网络布局优化模型 4
3.1多目标优化问题建模方法 4
3.2环境参数与网络性能的映射关系 5
3.3自适应布局优化算法设计 5
4环境适应性布局优化方案验证与应用 6
4.1仿真实验设计与结果分析 6
4.2实际应用场景测试评估 7
4.3优化方案性能对比与改进建议 7
5结论 8
参考文献 9
致谢 10
