An Energy Aware Grid-Based Clustering Power Efficient Data Aggregation Protocol for Wireless Sensor Networks Article Swipe
Neng-Chung Wang
,
Young-Long Chen
,
Yung‐Fa Huang
,
Ching-Mu Chen
,
Wei-Cheng Lin
,
Chao-Yang Lee
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/app12199877
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/app12199877
A wireless sensor network (WSN) is made up of multiple sensors deployed in a specific sensing area to identify the occurrence of events and quickly transmit useful information back to the base station (BS). In WSNs, schemes to reduce energy consumption are an important topic of research. A well-designed data transmission scheme can effectively extend the lifetime of a network. In this paper, we propose an energy aware grid-based clustering power efficient data aggregation protocol (GB-PEDAP) for WSNs. The proposed scheme has a two-layer architecture: the inner layer and the outer layer. The inner layer uses direct transmission to collect the data of the cluster (cell), and the outer layer uses a tree structure transmission to collect the data of the cluster head (cell head). In our simulations, the number of rounds executed by GB-PEDAP was approximately 1.2 rounds of TBEEP, 1.3 rounds of GSTEB, and 1.5 rounds of PEDAP. With the initial energy, 0.25 J, the execution rounds of the first node death for GB-PEDAP, TBEEP, GSTEB, and PEDAP were 751, 572, 486, and 339, respectively. The proposed GB-PEDAP can evenly disperse the energy consumption of sensors to avoid the rapid death of sensors, extending the lifetime of a WSN.
Related Topics
Concepts
Computer science
Wireless sensor network
Cluster analysis
Computer network
Energy consumption
Data aggregator
Data transmission
Base station
Transmission (telecommunications)
Layer (electronics)
Efficient energy use
Node (physics)
Grid
Real-time computing
Engineering
Telecommunications
Electrical engineering
Geography
Structural engineering
Geodesy
Organic chemistry
Chemistry
Machine learning
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app12199877
- https://www.mdpi.com/2076-3417/12/19/9877/pdf?version=1665300154
- OA Status
- gold
- Cited By
- 12
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4303578813
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4303578813Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/app12199877Digital Object Identifier
- Title
-
An Energy Aware Grid-Based Clustering Power Efficient Data Aggregation Protocol for Wireless Sensor NetworksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-30Full publication date if available
- Authors
-
Neng-Chung Wang, Young-Long Chen, Yung‐Fa Huang, Ching-Mu Chen, Wei-Cheng Lin, Chao-Yang LeeList of authors in order
- Landing page
-
https://doi.org/10.3390/app12199877Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-3417/12/19/9877/pdf?version=1665300154Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2076-3417/12/19/9877/pdf?version=1665300154Direct OA link when available
- Concepts
-
Computer science, Wireless sensor network, Cluster analysis, Computer network, Energy consumption, Data aggregator, Data transmission, Base station, Transmission (telecommunications), Layer (electronics), Efficient energy use, Node (physics), Grid, Real-time computing, Engineering, Telecommunications, Electrical engineering, Geography, Structural engineering, Geodesy, Organic chemistry, Chemistry, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 5, 2023: 3, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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