一种新的基于游牧人口优化器的WBAN节能路由

Q1 Engineering
Adnan Yousif Dawod, Baqer A Hakim, Ahmed Dheyaa Radhi, Zinah S. Jabbar, Jamal Fadhil Tawfeq, Poh Soon JosephNg
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引用次数: 2

摘要

为了满足用户对可穿戴设备的需求,一些WBAN部署现在需要有效的通信流程来实时远程数据监控。利用传感器网络,智能可穿戴设备可以交换数据,从而有利于评估可能的安全隐患。如果传感器网络中的智能可穿戴设备在数据传输过程中消耗过多的功率,可能会影响网络寿命和数据传输性能。尽管网络具有有效的数据传输,但智能可穿戴补丁包括使用通用聚合器从多个来源组合而成的数据。数据分析需要在整个聚合阶段仔细控制网络寿命。采用基于游牧人优化器的节能路由(NPO-EER)方法,通过最小化数据聚合时间和消除路由环路,有效地实现智能可穿戴补丁,从而保持了网络的生命周期。所得结果表明,NPO法具有很好的解决方案。估计的聚合时间、能耗、延迟和吞吐量都被证明是系统性能的准确指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel nomadic people optimizer-based energy-efficient routing for WBAN
In response to user demand for wearable devices, several WBAN deployments now call for effective communication processes for remote data monitoring in real time. Using sensor networks, intelligent wearable devices have exchanged data that has benefited in the evaluation of possible security hazards. If smart wearables in sensor networks use an excessive amount of power during data transmission, both network lifetime and data transmission performance may suffer. Despite the network's effective data transmission, smart wearable patches include data that has been combined from several sources utilizing common aggregators. Data analysis requires careful network lifespan control throughout the aggregation phase. By using the Nomadic People Optimizer-based Energy-Efficient Routing (NPO-EER) approach, which effectively allows smart wearable patches by minimizing data aggregation time and eliminating routing loops, the network lifetime has been preserved in this research. The obtained findings showed that the NPO method had a great solution. Estimated Aggregation time, Energy consumption, Delay, and throughput have all been shown to be accurate indicators of the system's performance.
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
140
审稿时长
7 weeks
期刊介绍: *Industrial Engineering: 1 . Ergonomics 2 . Manufacturing 3 . TQM/quality engineering, reliability/maintenance engineering 4 . Production Planning 5 . Facility location, layout, design, materials handling 6 . Education, case studies 7 . Inventory, logistics, transportation, supply chain management 8 . Management 9 . Project/operations management, scheduling 10 . Information systems for production and management 11 . Innovation, knowledge management, organizational learning *Mechanical Engineering: 1 . Energy 2 . Machine Design 3 . Engineering Materials 4 . Manufacturing 5 . Mechatronics & Robotics 6 . Transportation 7 . Fluid Mechanics 8 . Optical Engineering 9 . Nanotechnology 10 . Maintenance & Safety *Computer Science: 1 . Computational Intelligence 2 . Computer Graphics 3 . Data Mining 4 . Human-Centered Computing 5 . Internet and Web Computing 6 . Mobile and Cloud computing 7 . Software Engineering 8 . Online Social Networks *Electrical and electronics engineering 1 . Sensor, automation and instrumentation technology 2 . Telecommunications 3 . Power systems 4 . Electronics 5 . Nanotechnology *Architecture: 1 . Advanced digital applications in architecture practice and computation within Generative processes of design 2 . Computer science, biology and ecology connected with structural engineering 3 . Technology and sustainability in architecture *Bioengineering: 1 . Medical Sciences 2 . Biological and Biomedical Sciences 3 . Agriculture and Life Sciences 4 . Biology and neuroscience 5 . Biological Sciences (Botany, Forestry, Cell Biology, Marine Biology, Zoology) [...]
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