An Efficient Decentralized Routing Framework for Wireless Sensor Networks Article Swipe
C. Fancy
,
M. Pushpalatha
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.17485/ijst/2016/v9i37/95478
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.17485/ijst/2016/v9i37/95478
Objectives: Wireless Sensor Networks consists of a large number of battery-powered sensor nodes. Each sensor node collects data and forwards them to the sink. If the intermediate node is selected based on its minimal number of hops to the sink, then it will be used more frequently in routing which will lead to its quick expiration. If this happens, few nodes are disconnected from the sink. The energy and data of those nodes will thus be wasted since they have no means to route data. Methods/Statistical Analysis: The proposed method defines the energy definitions for the various categories of a sensor node based on its working and an energy-aware routing scheme named optimal node reliance (ONR) to select intermediate nodes for routing. It calculates the value to which nodes are participating in routing. By calculating the cost of nodes that are involved in routing helps to reduce the usage of a particular intermediate node repeatedly, thus avoiding the faster expiration of such nodes and thus maximizing the lifetime of the network. The optimal routing path and the common node is selected based on the residual energy calculated for each node. Then the packets from different sources are buffered at the common node and send them as a single packet to the sink. This will reduce the number of packets been sent through the same intermediate nodes to reach the sink. Findings: We then analyze the tradeoffs among communication delay, the energy requirement for route calculation, time taken for route calculation of the proposed method and few existing methods. It is observed that the proposed scheme holds good for the above-measured parameters. Application/Improvement: This ensures the selection of optimal routing path between any sensor node and its destination, avoiding the usage a particular intermediate node, thus preserving its energy and data. This eventually maximizes the lifetime of the Wireless sensor network.Keywords: Common Node, Optimal Node Reliance (ONR), Wireless Sensor Networks
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.17485/ijst/2016/v9i37/95478
- http://www.indjst.org/index.php/indjst/article/download/95478/73937
- OA Status
- diamond
- Cited By
- 2
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2537718559
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2537718559Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.17485/ijst/2016/v9i37/95478Digital Object Identifier
- Title
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An Efficient Decentralized Routing Framework for Wireless Sensor NetworksWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2016Year of publication
- Publication date
-
2016-10-14Full publication date if available
- Authors
-
C. Fancy, M. PushpalathaList of authors in order
- Landing page
-
https://doi.org/10.17485/ijst/2016/v9i37/95478Publisher landing page
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https://www.indjst.org/index.php/indjst/article/download/95478/73937Direct 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://www.indjst.org/index.php/indjst/article/download/95478/73937Direct OA link when available
- Concepts
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Computer science, Computer network, Wireless sensor network, Sink (geography), Network packet, Geographic routing, Routing (electronic design automation), Routing protocol, Efficient energy use, Static routing, Distributed computing, Engineering, Cartography, Electrical engineering, GeographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2Per-year citation counts (last 5 years)
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15Number 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.named | 111 |
| abstract_inverted_index.node, | 293 |
| abstract_inverted_index.node. | 189 |
| abstract_inverted_index.nodes | 60, 72, 119, 128, 138, 162, 225 |
| abstract_inverted_index.quick | 54 |
| abstract_inverted_index.reach | 227 |
| abstract_inverted_index.route | 83, 243, 248 |
| abstract_inverted_index.since | 77 |
| abstract_inverted_index.sink, | 39 |
| abstract_inverted_index.sink. | 23, 65, 211, 229 |
| abstract_inverted_index.taken | 246 |
| abstract_inverted_index.those | 71 |
| abstract_inverted_index.usage | 148, 289 |
| abstract_inverted_index.value | 125 |
| abstract_inverted_index.which | 49, 127 |
| abstract_inverted_index.(ONR), | 315 |
| abstract_inverted_index.Common | 310 |
| abstract_inverted_index.Sensor | 2, 317 |
| abstract_inverted_index.common | 177, 200 |
| abstract_inverted_index.delay, | 238 |
| abstract_inverted_index.energy | 67, 92, 185, 240, 297 |
| abstract_inverted_index.faster | 158 |
| abstract_inverted_index.method | 89, 253 |
| abstract_inverted_index.nodes. | 12 |
| abstract_inverted_index.number | 8, 34, 216 |
| abstract_inverted_index.packet | 208 |
| abstract_inverted_index.reduce | 146, 214 |
| abstract_inverted_index.scheme | 110, 264 |
| abstract_inverted_index.select | 117 |
| abstract_inverted_index.sensor | 11, 14, 100, 282, 308 |
| abstract_inverted_index.single | 207 |
| abstract_inverted_index.wasted | 76 |
| abstract_inverted_index.Optimal | 312 |
| abstract_inverted_index.analyze | 233 |
| abstract_inverted_index.between | 280 |
| abstract_inverted_index.defines | 90 |
| abstract_inverted_index.ensures | 273 |
| abstract_inverted_index.minimal | 33 |
| abstract_inverted_index.optimal | 112, 172, 277 |
| abstract_inverted_index.packets | 192, 218 |
| abstract_inverted_index.routing | 48, 109, 143, 173, 278 |
| abstract_inverted_index.sources | 195 |
| abstract_inverted_index.through | 221 |
| abstract_inverted_index.various | 96 |
| abstract_inverted_index.working | 105 |
| abstract_inverted_index.Networks | 3, 318 |
| abstract_inverted_index.Reliance | 314 |
| abstract_inverted_index.Wireless | 1, 307, 316 |
| abstract_inverted_index.avoiding | 156, 287 |
| abstract_inverted_index.buffered | 197 |
| abstract_inverted_index.collects | 16 |
| abstract_inverted_index.consists | 4 |
| abstract_inverted_index.existing | 256 |
| abstract_inverted_index.forwards | 19 |
| abstract_inverted_index.happens, | 58 |
| abstract_inverted_index.involved | 141 |
| abstract_inverted_index.lifetime | 167, 304 |
| abstract_inverted_index.methods. | 257 |
| abstract_inverted_index.network. | 170 |
| abstract_inverted_index.observed | 260 |
| abstract_inverted_index.proposed | 88, 252, 263 |
| abstract_inverted_index.reliance | 114 |
| abstract_inverted_index.residual | 184 |
| abstract_inverted_index.routing. | 121, 132 |
| abstract_inverted_index.selected | 29, 180 |
| abstract_inverted_index.Analysis: | 86 |
| abstract_inverted_index.Findings: | 230 |
| abstract_inverted_index.different | 194 |
| abstract_inverted_index.maximizes | 302 |
| abstract_inverted_index.selection | 275 |
| abstract_inverted_index.tradeoffs | 235 |
| abstract_inverted_index.calculated | 186 |
| abstract_inverted_index.calculates | 123 |
| abstract_inverted_index.categories | 97 |
| abstract_inverted_index.eventually | 301 |
| abstract_inverted_index.expiration | 159 |
| abstract_inverted_index.frequently | 46 |
| abstract_inverted_index.maximizing | 165 |
| abstract_inverted_index.particular | 151, 291 |
| abstract_inverted_index.preserving | 295 |
| abstract_inverted_index.Objectives: | 0 |
| abstract_inverted_index.calculating | 134 |
| abstract_inverted_index.calculation | 249 |
| abstract_inverted_index.definitions | 93 |
| abstract_inverted_index.expiration. | 55 |
| abstract_inverted_index.parameters. | 270 |
| abstract_inverted_index.repeatedly, | 154 |
| abstract_inverted_index.requirement | 241 |
| abstract_inverted_index.calculation, | 244 |
| abstract_inverted_index.destination, | 286 |
| abstract_inverted_index.disconnected | 62 |
| abstract_inverted_index.energy-aware | 108 |
| abstract_inverted_index.intermediate | 26, 118, 152, 224, 292 |
| abstract_inverted_index.communication | 237 |
| abstract_inverted_index.participating | 130 |
| abstract_inverted_index.above-measured | 269 |
| abstract_inverted_index.battery-powered | 10 |
| abstract_inverted_index.network.Keywords: | 309 |
| abstract_inverted_index.Methods/Statistical | 85 |
| abstract_inverted_index.Application/Improvement: | 271 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| 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 | 0.12342823 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |