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基于QoS信息融合技术的无线传感网络容量改进算法研究

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在确保网络容量不受影响的基础上,如何为通信业务提供高质量的服务保障(QoS),已经成为无线传感网络研究的焦点话题.基于Gupta和Kumar等学者提出的经典网络容量模型,整合网络层的QoS参数信息,进而设计一种融合物理层与网络层特性的跨层网络容量计算策略.首先,构建Grover节点状态的数学模型,详细描述网络延迟和节点能量消耗等QoS参数;然后,我们采用D-S证据理论对QoS信息进行整合,从而计算出网络链路的概率.最终,把QoS信息融合修正传统公式,并为跨层网络的容量制定算法.最后,文章构建仿真环境,对经典网络容量算法与跨层网络容量算法进行对比分析.研究结果显示,跨层网络容量算法在稳定性和可靠性方面表现得更为出色.
Research on Improved Capacity Algorithm of Wireless Sensor Network Based on QoS Fusion Technology
Providing high-quality service guarantee(QoS)has become a focal point of wireless sensor network research while ensuring network capacity is not compromised.By integrating the QoS parameter information of the network layer with the classical network ca-pacity model proposed by Gupta and Kumar,a cross-layer network capacity calculation strategy is then designed,which combines physi-cal and network layer characteristics.Firstly,a mathematical model of the Grover node state is constructed,describing QoS parameters such as network latency and node energy consumption.Then,D-S evidence theory is used to integrate QoS information to calculate the probability of network links.Finally,traditional formulas are modified and algorithms are developed for the capacity of multi-layer net-works.To validate the multi-layer network capacity algorithm,a simulation environment is constructed and the proposed algorithm is compared with the classical network capacity algorithm.The results show that the multi-layer network capability algorithm is more stable and reliable.

capacity of networksGrover algorithmquality of servicedata fusion

周莹、赵依苇、尉理哲、刘半藤

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浙江树人学院信息科技学院,浙江 杭州 310015

网络容量 Grover算法 服务质量保障 证据理论

2024

传感技术学报
东南大学 中国微米纳米技术学会

传感技术学报

CSTPCD北大核心
影响因子:1.276
ISSN:1004-1699
年,卷(期):2024.37(12)