Sector Tree-Based Clustering for Energy Efficient Routing Protocol in Heterogeneous Wireless Sensor Network Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.5121/ijcnc.2021.13504
One of the main challenges for researchers to build routing protocols is how to use energy efficiently to extend the lifespan of the whole wireless sensor networks (WSN) because sensor nodes have limited battery power resources. In this work, we propose a Sector Tree-Based clustering routing protocol (STB-EE) for Energy Efficiency to cope with this problem, where the entire network area is partitioned into dynamic sectors (clusters), which balance the number of alive nodes. The nodes in each sector only communicate with their nearest neighbour by constructing a minimum tree based on the Kruskal algorithm and using mixed distance from candidate node to base station (BS) and remaining energy of candidate nodes to determine which node will become the cluster head (CH) in each cluster? By calculating the duration of time in each round for suitability, STB-EE increases the number of data packets sent to the BS. Our simulation results show that the network lifespan using STB-EE can be improved by about 16% and 10% in comparison to power-efficient gathering in sensor information system (PEGASIS) and energy-efficient PEGASIS-based protocol (IEEPB), respectively.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.5121/ijcnc.2021.13504
- https://doi.org/10.5121/ijcnc.2021.13504
- OA Status
- diamond
- Cited By
- 4
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3207631570
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3207631570Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5121/ijcnc.2021.13504Digital Object Identifier
- Title
-
Sector Tree-Based Clustering for Energy Efficient Routing Protocol in Heterogeneous Wireless Sensor NetworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-09-30Full publication date if available
- Authors
-
Nguyêñ Duy Tân, Vũ Khánh Quý, Phạm Ngọc Hùng, Le Van VinhList of authors in order
- Landing page
-
https://doi.org/10.5121/ijcnc.2021.13504Publisher landing page
- PDF URL
-
https://doi.org/10.5121/ijcnc.2021.13504Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5121/ijcnc.2021.13504Direct OA link when available
- Concepts
-
Computer science, Routing protocol, Wireless sensor network, Computer network, Network packet, Cluster analysis, Efficient energy use, Node (physics), Tree (set theory), Base station, Routing (electronic design automation), Distributed computing, Engineering, Electrical engineering, Machine learning, Structural engineering, Mathematical analysis, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 1, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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27Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.main | 3 |
| abstract_inverted_index.node | 101, 115 |
| abstract_inverted_index.only | 79 |
| abstract_inverted_index.sent | 143 |
| abstract_inverted_index.show | 150 |
| abstract_inverted_index.that | 151 |
| abstract_inverted_index.this | 37, 54 |
| abstract_inverted_index.time | 130 |
| abstract_inverted_index.tree | 89 |
| abstract_inverted_index.will | 116 |
| abstract_inverted_index.with | 53, 81 |
| abstract_inverted_index.(WSN) | 27 |
| abstract_inverted_index.about | 161 |
| abstract_inverted_index.alive | 72 |
| abstract_inverted_index.based | 90 |
| abstract_inverted_index.build | 8 |
| abstract_inverted_index.mixed | 97 |
| abstract_inverted_index.nodes | 30, 75, 111 |
| abstract_inverted_index.power | 34 |
| abstract_inverted_index.round | 133 |
| abstract_inverted_index.their | 82 |
| abstract_inverted_index.using | 96, 155 |
| abstract_inverted_index.where | 56 |
| abstract_inverted_index.which | 67, 114 |
| abstract_inverted_index.whole | 23 |
| abstract_inverted_index.work, | 38 |
| abstract_inverted_index.Energy | 49 |
| abstract_inverted_index.STB-EE | 136, 156 |
| abstract_inverted_index.Sector | 42 |
| abstract_inverted_index.become | 117 |
| abstract_inverted_index.energy | 15, 108 |
| abstract_inverted_index.entire | 58 |
| abstract_inverted_index.extend | 18 |
| abstract_inverted_index.nodes. | 73 |
| abstract_inverted_index.number | 70, 139 |
| abstract_inverted_index.sector | 78 |
| abstract_inverted_index.sensor | 25, 29, 171 |
| abstract_inverted_index.system | 173 |
| abstract_inverted_index.Kruskal | 93 |
| abstract_inverted_index.balance | 68 |
| abstract_inverted_index.battery | 33 |
| abstract_inverted_index.because | 28 |
| abstract_inverted_index.cluster | 119 |
| abstract_inverted_index.dynamic | 64 |
| abstract_inverted_index.limited | 32 |
| abstract_inverted_index.minimum | 88 |
| abstract_inverted_index.nearest | 83 |
| abstract_inverted_index.network | 59, 153 |
| abstract_inverted_index.packets | 142 |
| abstract_inverted_index.propose | 40 |
| abstract_inverted_index.results | 149 |
| abstract_inverted_index.routing | 9, 45 |
| abstract_inverted_index.sectors | 65 |
| abstract_inverted_index.station | 104 |
| abstract_inverted_index.(IEEPB), | 179 |
| abstract_inverted_index.(STB-EE) | 47 |
| abstract_inverted_index.cluster? | 124 |
| abstract_inverted_index.distance | 98 |
| abstract_inverted_index.duration | 128 |
| abstract_inverted_index.improved | 159 |
| abstract_inverted_index.lifespan | 20, 154 |
| abstract_inverted_index.networks | 26 |
| abstract_inverted_index.problem, | 55 |
| abstract_inverted_index.protocol | 46, 178 |
| abstract_inverted_index.wireless | 24 |
| abstract_inverted_index.(PEGASIS) | 174 |
| abstract_inverted_index.algorithm | 94 |
| abstract_inverted_index.candidate | 100, 110 |
| abstract_inverted_index.determine | 113 |
| abstract_inverted_index.gathering | 169 |
| abstract_inverted_index.increases | 137 |
| abstract_inverted_index.neighbour | 84 |
| abstract_inverted_index.protocols | 10 |
| abstract_inverted_index.remaining | 107 |
| abstract_inverted_index.Efficiency | 50 |
| abstract_inverted_index.Tree-Based | 43 |
| abstract_inverted_index.challenges | 4 |
| abstract_inverted_index.clustering | 44 |
| abstract_inverted_index.comparison | 166 |
| abstract_inverted_index.resources. | 35 |
| abstract_inverted_index.simulation | 148 |
| abstract_inverted_index.(clusters), | 66 |
| abstract_inverted_index.calculating | 126 |
| abstract_inverted_index.communicate | 80 |
| abstract_inverted_index.efficiently | 16 |
| abstract_inverted_index.information | 172 |
| abstract_inverted_index.partitioned | 62 |
| abstract_inverted_index.researchers | 6 |
| abstract_inverted_index.constructing | 86 |
| abstract_inverted_index.suitability, | 135 |
| abstract_inverted_index.PEGASIS-based | 177 |
| abstract_inverted_index.respectively. | 180 |
| abstract_inverted_index.power-efficient | 168 |
| abstract_inverted_index.energy-efficient | 176 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8700000047683716 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.71027501 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |