Optimizing Ad-Hoc Routing Protocols in WSN to Enhance QoS Parameters Using Evolutionary Computation Algorithms Article Swipe
Rahul Nawkhare
,
Daljeet Singh
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.22247/ijcna/2024/224448
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.22247/ijcna/2024/224448
Wireless Sensor Networks (WSNs) have garnered considerable attention within the research community focused on fraternity due to their extensive utilization in healthcare, environmental surveillance, disaster avoidance, farming methods, wildfire detection, and other practical applications.Enormous applications have been developed in the Internet of Things (IoT) era resulting in an ever-increasing number of connected WSN devices.As a result, WSNs consistently face challenges in delivering the required quality of service (QoS) affecting the average end-to-end delay, energy utilization, and packet loss throughout the transmission process.An efficient routing protocol must be designed to address these constraints and improve the operational efficiency of WSNs regarding Quality of Service (QoS) metrics.Motivated by these challenges, this paper presents an advanced routing algorithm by integrating optimization in the AODV routing protocol for ad hoc networks employing Particle Swarm Optimization (PSO).The proposed multipath protocol is termed the EPSO-AODV algorithm.The proposed algorithm is assessed through numerous simulations carried out with varied system setups and parameters.Additionally, the efficiency of the proposed protocol is assessed in comparison to conventional routing protocols including AODV, Dynamic Source Routing (DSR), Destination-Sequenced Distance Vector (DSDV), and Optimized Link State Routing (OLSR) protocols.It is observed from the experimental findings that the proposed approach outperforms existing algorithms and offers several benefits including better energy efficiency, ensuring high packet delivery ratio, throughput, and minimal end-to-end delay delay, reduced normalization load.The proposed protocol efficiently distributes energy usage to enhance throughput and enhance the performance of wireless sensor networks.As per the simulation results, the packet delivery ratio has improved from 81.58% to 91.60% whereas the throughput is observed to be 36.32kbps for conventional AODV and 74.21 kbps for the proposed algorithm.The routing overhead is lowered by approximately 40% and the AE2E delay was found to be 0.04 lower in comparison to AODV.The residual energy in the context of the EPSO-AODV proposal is less (4981 Joules) than AODV (6344 Joules) which proves the superior efficiency of the proposed algorithm.
Related Topics
Concepts
Computer science
Computation
Quality of service
Computer network
Routing (electronic design automation)
Adaptive quality of service multi-hop routing
Wireless ad hoc network
Distributed computing
Routing protocol
Algorithm
Optimized Link State Routing Protocol
Telecommunications
Wireless
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.22247/ijcna/2024/224448
- https://doi.org/10.22247/ijcna/2024/224448
- OA Status
- diamond
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396611632
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396611632Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.22247/ijcna/2024/224448Digital Object Identifier
- Title
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Optimizing Ad-Hoc Routing Protocols in WSN to Enhance QoS Parameters Using Evolutionary Computation AlgorithmsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-04-01Full publication date if available
- Authors
-
Rahul Nawkhare, Daljeet SinghList of authors in order
- Landing page
-
https://doi.org/10.22247/ijcna/2024/224448Publisher landing page
- PDF URL
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https://doi.org/10.22247/ijcna/2024/224448Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.22247/ijcna/2024/224448Direct OA link when available
- Concepts
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Computer science, Computation, Quality of service, Computer network, Routing (electronic design automation), Adaptive quality of service multi-hop routing, Wireless ad hoc network, Distributed computing, Routing protocol, Algorithm, Optimized Link State Routing Protocol, Telecommunications, WirelessTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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29Number 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.average | 70 |
| abstract_inverted_index.carried | 147 |
| abstract_inverted_index.context | 295 |
| abstract_inverted_index.enhance | 228, 231 |
| abstract_inverted_index.farming | 26 |
| abstract_inverted_index.focused | 12 |
| abstract_inverted_index.improve | 93 |
| abstract_inverted_index.lowered | 273 |
| abstract_inverted_index.minimal | 214 |
| abstract_inverted_index.quality | 64 |
| abstract_inverted_index.reduced | 218 |
| abstract_inverted_index.result, | 55 |
| abstract_inverted_index.routing | 83, 113, 121, 167, 270 |
| abstract_inverted_index.service | 66 |
| abstract_inverted_index.several | 201 |
| abstract_inverted_index.through | 144 |
| abstract_inverted_index.whereas | 252 |
| abstract_inverted_index.AODV.The | 290 |
| abstract_inverted_index.Distance | 176 |
| abstract_inverted_index.Internet | 40 |
| abstract_inverted_index.Networks | 2 |
| abstract_inverted_index.Particle | 128 |
| abstract_inverted_index.Wireless | 0 |
| abstract_inverted_index.advanced | 112 |
| abstract_inverted_index.approach | 195 |
| abstract_inverted_index.assessed | 143, 162 |
| abstract_inverted_index.benefits | 202 |
| abstract_inverted_index.delivery | 210, 244 |
| abstract_inverted_index.designed | 87 |
| abstract_inverted_index.disaster | 24 |
| abstract_inverted_index.ensuring | 207 |
| abstract_inverted_index.existing | 197 |
| abstract_inverted_index.findings | 191 |
| abstract_inverted_index.garnered | 5 |
| abstract_inverted_index.improved | 247 |
| abstract_inverted_index.load.The | 220 |
| abstract_inverted_index.methods, | 27 |
| abstract_inverted_index.networks | 126 |
| abstract_inverted_index.numerous | 145 |
| abstract_inverted_index.observed | 187, 256 |
| abstract_inverted_index.overhead | 271 |
| abstract_inverted_index.presents | 110 |
| abstract_inverted_index.proposal | 299 |
| abstract_inverted_index.proposed | 132, 140, 159, 194, 221, 268, 315 |
| abstract_inverted_index.protocol | 84, 122, 134, 160, 222 |
| abstract_inverted_index.required | 63 |
| abstract_inverted_index.research | 10 |
| abstract_inverted_index.residual | 291 |
| abstract_inverted_index.results, | 241 |
| abstract_inverted_index.superior | 311 |
| abstract_inverted_index.wildfire | 28 |
| abstract_inverted_index.wireless | 235 |
| abstract_inverted_index.(PSO).The | 131 |
| abstract_inverted_index.36.32kbps | 259 |
| abstract_inverted_index.EPSO-AODV | 138, 298 |
| abstract_inverted_index.Optimized | 180 |
| abstract_inverted_index.affecting | 68 |
| abstract_inverted_index.algorithm | 114, 141 |
| abstract_inverted_index.attention | 7 |
| abstract_inverted_index.community | 11 |
| abstract_inverted_index.connected | 51 |
| abstract_inverted_index.developed | 37 |
| abstract_inverted_index.efficient | 82 |
| abstract_inverted_index.employing | 127 |
| abstract_inverted_index.extensive | 18 |
| abstract_inverted_index.including | 169, 203 |
| abstract_inverted_index.multipath | 133 |
| abstract_inverted_index.practical | 32 |
| abstract_inverted_index.protocols | 168 |
| abstract_inverted_index.regarding | 99 |
| abstract_inverted_index.resulting | 45 |
| abstract_inverted_index.algorithm. | 316 |
| abstract_inverted_index.algorithms | 198 |
| abstract_inverted_index.avoidance, | 25 |
| abstract_inverted_index.challenges | 59 |
| abstract_inverted_index.comparison | 164, 288 |
| abstract_inverted_index.delivering | 61 |
| abstract_inverted_index.detection, | 29 |
| abstract_inverted_index.devices.As | 53 |
| abstract_inverted_index.efficiency | 96, 156, 312 |
| abstract_inverted_index.end-to-end | 71, 215 |
| abstract_inverted_index.fraternity | 14 |
| abstract_inverted_index.process.An | 81 |
| abstract_inverted_index.simulation | 240 |
| abstract_inverted_index.throughout | 78 |
| abstract_inverted_index.throughput | 229, 254 |
| abstract_inverted_index.challenges, | 107 |
| abstract_inverted_index.constraints | 91 |
| abstract_inverted_index.distributes | 224 |
| abstract_inverted_index.efficiency, | 206 |
| abstract_inverted_index.efficiently | 223 |
| abstract_inverted_index.healthcare, | 21 |
| abstract_inverted_index.integrating | 116 |
| abstract_inverted_index.networks.As | 237 |
| abstract_inverted_index.operational | 95 |
| abstract_inverted_index.outperforms | 196 |
| abstract_inverted_index.performance | 233 |
| abstract_inverted_index.simulations | 146 |
| abstract_inverted_index.throughput, | 212 |
| abstract_inverted_index.utilization | 19 |
| abstract_inverted_index.Optimization | 130 |
| abstract_inverted_index.applications | 34 |
| abstract_inverted_index.considerable | 6 |
| abstract_inverted_index.consistently | 57 |
| abstract_inverted_index.conventional | 166, 261 |
| abstract_inverted_index.experimental | 190 |
| abstract_inverted_index.optimization | 117 |
| abstract_inverted_index.protocols.It | 185 |
| abstract_inverted_index.transmission | 80 |
| abstract_inverted_index.utilization, | 74 |
| abstract_inverted_index.algorithm.The | 139, 269 |
| abstract_inverted_index.approximately | 275 |
| abstract_inverted_index.environmental | 22 |
| abstract_inverted_index.normalization | 219 |
| abstract_inverted_index.surveillance, | 23 |
| abstract_inverted_index.ever-increasing | 48 |
| abstract_inverted_index.metrics.Motivated | 104 |
| abstract_inverted_index.Destination-Sequenced | 175 |
| abstract_inverted_index.applications.Enormous | 33 |
| abstract_inverted_index.parameters.Additionally, | 154 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.06568279 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |