Zigbee Based Mobile Sensing for Wireless Sensor Networks Article Swipe
Alberto Coboi
,
Minh Tuấn Nguyễn
,
Van Nam Pham
,
Thang C. Vu
,
Mui D. Nguyen
,
Tuan Dung Nguyen
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.37256/cnc.1220233923
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.37256/cnc.1220233923
Wireless sensor networks, have drawn a lot of interest because of their adaptability and range of uses in different industries. WSNs face significant challenges when it comes to energy efficiency because sensor nodes are usually battery-powered and have limited resources. Several energy-efficient methods and protocols, such as duty cycling, data aggregation, and topology management, have been put forth to address this problem. Moreover, new potential for mobile wireless sensor networks are presented by the integration of WSNs with mobile and static devices, such as drones, tablets, and smartphones. In this study, we suggest utilizing Zigbee technology to establish a robust and flexible monitoring system for both stationary and mobile sensors. Numerous industries, including healthcare, smart agriculture, asset tracking, energy management, smart home automation, and industrial monitoring and control, have made extensive use of Zigbee. By leveraging Zigbee's capabilities, we hope to improve the protocol's performance while establishing dependable communication links between nodes, analyzing the communication range, and assessing the influence of environmental conditions. In this study, a system model for Zigbee deployment in mobile robots will be presented. It will address the basics of Zigbee, communication difficulties, networking with Zigbee, and simulations or real-world outcomes. We will learn about the strengths and weaknesses of Zigbee-based systems in terms of creating reliable communication links in mobile wireless sensor networks by looking at their architecture and functionality. The results of this study will help us comprehend Zigbee's potential to improve monitoring systems and make better decisions across a range of industries. The study's emphasis on mobile monitoring systems signifies a step forward in addressing the evolving needs of wireless sensor networks in dynamic environments.
Related Topics
Concepts
Wireless sensor network
NeuRFon
Computer science
Computer network
Wireless
Embedded system
Key distribution in wireless sensor networks
Wireless network
Telecommunications
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.37256/cnc.1220233923
- https://ojs.wiserpub.com/index.php/CNC/article/download/3923/1804
- OA Status
- hybrid
- Cited By
- 4
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389791241
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389791241Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.37256/cnc.1220233923Digital Object Identifier
- Title
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Zigbee Based Mobile Sensing for Wireless Sensor NetworksWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-15Full publication date if available
- Authors
-
Alberto Coboi, Minh Tuấn Nguyễn, Van Nam Pham, Thang C. Vu, Mui D. Nguyen, Tuan Dung NguyenList of authors in order
- Landing page
-
https://doi.org/10.37256/cnc.1220233923Publisher landing page
- PDF URL
-
https://ojs.wiserpub.com/index.php/CNC/article/download/3923/1804Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://ojs.wiserpub.com/index.php/CNC/article/download/3923/1804Direct OA link when available
- Concepts
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Wireless sensor network, NeuRFon, Computer science, Computer network, Wireless, Embedded system, Key distribution in wireless sensor networks, Wireless network, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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64Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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