FUZZY INFORMER HOMED ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORK Article Swipe
Gholamreza Kakamanshadi
,
Savita Gupta
,
Sukhwinder Singh
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3372075
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3372075
A wireless sensor network consists of severalsensor nodes. Sensor nodes collaborate to collect meaningful environmental information and send them to the base station. During these processes, nodes are prone to failure, due to the energy depletion, hardware or software failure, etc. Therefore, fault tolerance and energy efficiency are two important objectives for reliable packet delivery. To address these objectives a novel method called fuzzy informer homed routing protocol is introduced. The proposed method tries to distribute the workload between every sensor node. A fuzzy logic approach is used to handle uncertainties in cluster head communication range estimation. The simulation results show that the proposed method can significantly reduce energy consumption as compared with IHR and DHR protocols. Furthermore, results revealed that it performs better than IHR and DHR protocols in terms of first node dead and half of the nodes alive, throughput and total remaining energy. It is concluded that the proposed protocol is a stable and energy efficient fault tolerance algorithm for wireless sensor networks.
Related Topics
Concepts
Computer network
Computer science
Routing protocol
Fuzzy logic
Zone Routing Protocol
Wireless Routing Protocol
Dynamic Source Routing
Protocol (science)
Hierarchical routing
Enhanced Interior Gateway Routing Protocol
Routing (electronic design automation)
Artificial intelligence
Medicine
Alternative medicine
Pathology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://zenodo.org/record/3372075
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4288259917
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4288259917Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.3372075Digital Object Identifier
- Title
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FUZZY INFORMER HOMED ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-08-20Full publication date if available
- Authors
-
Gholamreza Kakamanshadi, Savita Gupta, Sukhwinder SinghList of authors in order
- Landing page
-
https://zenodo.org/record/3372075Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://zenodo.org/record/3372075Direct OA link when available
- Concepts
-
Computer network, Computer science, Routing protocol, Fuzzy logic, Zone Routing Protocol, Wireless Routing Protocol, Dynamic Source Routing, Protocol (science), Hierarchical routing, Enhanced Interior Gateway Routing Protocol, Routing (electronic design automation), Artificial intelligence, Medicine, Alternative medicine, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.revealed | 119 |
| abstract_inverted_index.software | 38 |
| abstract_inverted_index.station. | 22 |
| abstract_inverted_index.wireless | 1, 163 |
| abstract_inverted_index.workload | 77 |
| abstract_inverted_index.algorithm | 161 |
| abstract_inverted_index.concluded | 148 |
| abstract_inverted_index.delivery. | 54 |
| abstract_inverted_index.efficient | 158 |
| abstract_inverted_index.important | 49 |
| abstract_inverted_index.networks. | 165 |
| abstract_inverted_index.protocols | 128 |
| abstract_inverted_index.remaining | 144 |
| abstract_inverted_index.tolerance | 43, 160 |
| abstract_inverted_index.Therefore, | 41 |
| abstract_inverted_index.depletion, | 35 |
| abstract_inverted_index.distribute | 75 |
| abstract_inverted_index.efficiency | 46 |
| abstract_inverted_index.meaningful | 13 |
| abstract_inverted_index.objectives | 50, 58 |
| abstract_inverted_index.processes, | 25 |
| abstract_inverted_index.protocols. | 116 |
| abstract_inverted_index.simulation | 98 |
| abstract_inverted_index.throughput | 141 |
| abstract_inverted_index.collaborate | 10 |
| abstract_inverted_index.consumption | 109 |
| abstract_inverted_index.estimation. | 96 |
| abstract_inverted_index.information | 15 |
| abstract_inverted_index.introduced. | 69 |
| abstract_inverted_index.Furthermore, | 117 |
| abstract_inverted_index.communication | 94 |
| abstract_inverted_index.environmental | 14 |
| abstract_inverted_index.severalsensor | 6 |
| abstract_inverted_index.significantly | 106 |
| abstract_inverted_index.uncertainties | 90 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.9100000262260437 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.37168897 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |