Improved Cuckoo Search-based Clustering Protocol for Wireless Sensor Networks Article Swipe
In a large-scale Wireless Sensor Networks (WSNs), designing of an energy efficient data gathering protocol has become a challenging research issues. This is due to fact that each sensor node is generally equipped with limited energy resource. In the literature, clustering-based technique for data gathering has been proved very efficient in terms of energy saving. Although, it is pointed out in the literature that design of an energy-balanced clustering for maximizing the network lifetime of WSNs is a NP-hard problem. For solving this NP-hard problem, many meta-heuristic approach based clustering protocols are proposed in the recent years. However, these existing clustering protocols suffer from unbalanced energy consumption problem. In this problem, cluster heads are not uniformly distributed and overloaded cluster heads die out faster than under-load cluster heads. In order to solve this problem, an improved Cuckoo Search-based Clustering Algorithm (ICSCA) is proposed in this research paper. Performance evaluation of the ICSCA and its comparison with the state-of-art clustering scheme in terms total energy consumption and residual energy are presented.
Related Topics
Concepts
Computer science
Cluster analysis
Wireless sensor network
Cuckoo search
Energy consumption
Node (physics)
Distributed computing
Heuristic
Protocol (science)
Data mining
Computer network
Algorithm
Machine learning
Artificial intelligence
Medicine
Biology
Particle swarm optimization
Alternative medicine
Structural engineering
Engineering
Ecology
Pathology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.procs.2017.12.032
- OA Status
- diamond
- Cited By
- 56
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2784187550
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2784187550Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.procs.2017.12.032Digital Object Identifier
- Title
-
Improved Cuckoo Search-based Clustering Protocol for Wireless Sensor NetworksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-01-01Full publication date if available
- Authors
-
Govind P. GuptaList of authors in order
- Landing page
-
https://doi.org/10.1016/j.procs.2017.12.032Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.procs.2017.12.032Direct OA link when available
- Concepts
-
Computer science, Cluster analysis, Wireless sensor network, Cuckoo search, Energy consumption, Node (physics), Distributed computing, Heuristic, Protocol (science), Data mining, Computer network, Algorithm, Machine learning, Artificial intelligence, Medicine, Biology, Particle swarm optimization, Alternative medicine, Structural engineering, Engineering, Ecology, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
56Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 4, 2023: 8, 2022: 12, 2021: 12, 2020: 12Per-year citation counts (last 5 years)
- References (count)
-
18Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.years. | 96 |
| abstract_inverted_index.(ICSCA) | 140 |
| abstract_inverted_index.(WSNs), | 6 |
| abstract_inverted_index.NP-hard | 78, 83 |
| abstract_inverted_index.cluster | 111, 119, 126 |
| abstract_inverted_index.issues. | 20 |
| abstract_inverted_index.limited | 34 |
| abstract_inverted_index.network | 72 |
| abstract_inverted_index.pointed | 58 |
| abstract_inverted_index.saving. | 54 |
| abstract_inverted_index.solving | 81 |
| abstract_inverted_index.However, | 97 |
| abstract_inverted_index.Networks | 5 |
| abstract_inverted_index.Wireless | 3 |
| abstract_inverted_index.approach | 87 |
| abstract_inverted_index.equipped | 32 |
| abstract_inverted_index.existing | 99 |
| abstract_inverted_index.improved | 135 |
| abstract_inverted_index.lifetime | 73 |
| abstract_inverted_index.problem, | 84, 110, 133 |
| abstract_inverted_index.problem. | 79, 107 |
| abstract_inverted_index.proposed | 92, 142 |
| abstract_inverted_index.protocol | 14 |
| abstract_inverted_index.research | 19, 145 |
| abstract_inverted_index.residual | 166 |
| abstract_inverted_index.Algorithm | 139 |
| abstract_inverted_index.Although, | 55 |
| abstract_inverted_index.designing | 7 |
| abstract_inverted_index.efficient | 11, 49 |
| abstract_inverted_index.gathering | 13, 44 |
| abstract_inverted_index.generally | 31 |
| abstract_inverted_index.protocols | 90, 101 |
| abstract_inverted_index.resource. | 36 |
| abstract_inverted_index.technique | 41 |
| abstract_inverted_index.uniformly | 115 |
| abstract_inverted_index.Clustering | 138 |
| abstract_inverted_index.clustering | 68, 89, 100, 158 |
| abstract_inverted_index.comparison | 154 |
| abstract_inverted_index.evaluation | 148 |
| abstract_inverted_index.literature | 62 |
| abstract_inverted_index.maximizing | 70 |
| abstract_inverted_index.overloaded | 118 |
| abstract_inverted_index.presented. | 169 |
| abstract_inverted_index.unbalanced | 104 |
| abstract_inverted_index.under-load | 125 |
| abstract_inverted_index.Performance | 147 |
| abstract_inverted_index.challenging | 18 |
| abstract_inverted_index.consumption | 106, 164 |
| abstract_inverted_index.distributed | 116 |
| abstract_inverted_index.large-scale | 2 |
| abstract_inverted_index.literature, | 39 |
| abstract_inverted_index.Search-based | 137 |
| abstract_inverted_index.state-of-art | 157 |
| abstract_inverted_index.meta-heuristic | 86 |
| abstract_inverted_index.energy-balanced | 67 |
| abstract_inverted_index.clustering-based | 40 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5090381393 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| corresponding_institution_ids | https://openalex.org/I38335241 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8999999761581421 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.96564534 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |