基于wlan的医疗保健系统的非线性数学模型路由协议

Ch Rajendra prasad, Polaiah Bojja
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引用次数: 6

摘要

目的提出一种基于非线性数学模型的无线体域网络(wban)路由协议。模型1和模型2采用了两个非线性数学模型。模型1旨在提高数据传输速率,模型2旨在降低wban的能耗。对固定部署和基于优先级的数据传输模型进行了仿真,并分析了四种约束条件下的网络性能。设计/方法/方法无线技术的进步在电子保健、娱乐和游戏等几个应用中起着至关重要的作用。尽管无线局域网在数字医疗中得到了广泛的应用,但其电池容量有限,影响了网络的稳定性和数据的传输。因此,如何降低无线宽带网络的能耗,最大限度地提高数据传输速率成为研究的重点。仿真结果表明,与传统路由协议相比,该协议在剩余能量、网络稳定性、路径损耗和数据传输速率等四个网络约束条件下均表现出优越的性能。这些参数的性能改进证实了该算法比传统算法更可靠,能耗更低。模型1提供了最大限度的数据提取,从而确保了wban中可靠的数据传输。模型2在汇聚节点和传感器节点之间分配最小跳数路径,从而使wban中的能量消耗最小化。
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A non-linear mathematical model-based routing protocol for WBAN-based health-care systems
Purpose This paper aims to present a non-linear mathematical model-based routing protocol for wireless body area networks (WBANs). Two non-linear mathematical models for WBANs are used in the proposed protocols Model 1 and Model 2. Model 1 intends to improve the data transmission rate and Model 2 intends to reduce energy consumption in the WBANs. These models are simulated for fixed deployment and priority-based data transmission, and performance of the network is analyzed under four constraints on WBANs. Design/methodology/approach Advancements in wireless technology play a vital role in several applications such as electronic health care, entertainment and games. Though WBANs are widely used in digital health care, they have restricted battery capacity which affects network stability and data transmission. Therefore, several research studies focused on reducing energy consumption and maximizing the data transmission rate in WBANs. Findings Simulation results of the proposed protocol exhibit superior performance in terms of four network constraints such as residual energy, the stability of the network, path loss and data transmission rate in contrast with conventional routing protocols. The performance improvement of these parameters confirms that the proposed algorithm is more reliable and consumes less energy than traditional algorithms. Originality/value The Model 1 of the proposed work provides maximum data extraction, which ensures reliable data transmission in WBANs. The Model 2 allocates minimal hop count path between the sink and the sensor nodes, which minimizes energy consumption in the WBANs.
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