Optimizing Iot Sensor Networks: Topologies, Data Aggregation, And Cloud Integration

The design and management of sensor networks, which enable smooth communication between a variety of devices,from home appliances to specialized monitoring equipment, are critical components of the Internet of Things (IoT) ecosystem.An effective sensor network's design is greatly influenced by the topology chosen, such as mesh or star configurations, each ofwhich is suitable for a specific application. As IoT adoption grows, the challenges of big data—volume, velocity, variety, andveracity—become more apparent. Since sensor data is inexpensive to generate but costly to transmit, store, and process, earlystage edge processing is essential for system efficiency. Modern, affordable, low-power aggregation devices reduce unnecessarydata load by enabling local data processing, filtering, and transmission.Additionally, by providing remote configuration, realtime monitoring, and integrated data visualization, cloud-based sensor network management tools increase scalability and userfriendliness. Combining these technologies maximizes dependability, performance, and cost-effectiveness while satisfying the evolving requirements of Internet of Things applications

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-08
DOI
https://doi.org/10.5281/zenodo.17075399
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Optimizing Iot Sensor Networks: Topologies, Data Aggregation, And Cloud Integration

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Optimizing Iot Sensor Networks: Topologies, Data Aggregation, And Cloud Integration

article en

Abstract

The design and management of sensor networks, which enable smooth communication between a variety of devices,from home appliances to specialized monitoring equipment, are critical components of the Internet of Things (IoT) ecosystem.An effective sensor network's design is greatly influenced by the topology chosen, such as mesh or star configurations, each ofwhich is suitable for a specific application. As IoT adoption grows, the challenges of big data—volume, velocity, variety, andveracity—become more apparent. Since sensor data is inexpensive to generate but costly to transmit, store, and process, earlystage edge processing is essential for system efficiency. Modern, affordable, low-power aggregation devices reduce unnecessarydata load by enabling local data processing, filtering, and transmission.Additionally, by providing remote configuration, realtime monitoring, and integrated data visualization, cloud-based sensor network management tools increase scalability and userfriendliness. Combining these technologies maximizes dependability, performance, and cost-effectiveness while satisfying the evolving requirements of Internet of Things applications

Zenodo (CERN European Organization for Nuclear Research)
Government Medical College (IN)
Openalex Percentile: Top 50%
Geochemistry and Geologic Mapping
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Optimizing Iot Sensor Networks: Topologies, Data Aggregation, And Cloud Integration · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS