Cite this DOI

Mr.A.NAGASUMAN, V.N.V.S.GEETHASRI, A.SAIPAVAN, V.S.HARIKA, & A.Y.V.KRISHNA (2024). A ROUTING PROTOCOL FOR EFFICIENTLY MANAGING ENERGY IN UNDERWATER WIRELESS SENSOR NETWORKS WITH DEPTH CONTROL. *Journal of Science & Technology*, *09*(04), 59–73. https://doi.org/10.46243/jst.2024.v9.i4.pp59-73

@article{mranagasuman2024routing,
  author    = {Mr.A.NAGASUMAN and V.N.V.S.GEETHASRI and A.SAIPAVAN and V.S.HARIKA and A.Y.V.KRISHNA},
  title     = {{A ROUTING PROTOCOL FOR EFFICIENTLY MANAGING ENERGY IN UNDERWATER WIRELESS SENSOR NETWORKS WITH DEPTH CONTROL}},
  journal   = {Journal of Science \& Technology},
  year      = {2024},
  month     = {apr},
  volume    = {09},
  number    = {04},
  pages     = {59--73},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2024.v9.i4.pp59-73},
  url       = {https://doi.org/10.46243/jst.2024.v9.i4.pp59-73},
  language  = {en},
  abstract  = {In Underwater wireless sensor network attracted massive attention from researchers. In underwater wireless sensor network, manysensor nodes are distributed at different depths in the sea. Due to its complex nature, updating their location or adding new devices ispretty challenging. Due to the constraints on energy storage of underwater wireless sensor network end devices and the complexity ofrepairing or recharging the device underwater, this is highly significant to strengthen the energy performance of underwater wirelesssensor network. An imbalance in power usage can cause poor performance and a limited network lifetime. To overcome these issues, weproposeadepthcontrolledwithenergy-balancedroutingprotocol,whichwillbeabletoadjustthe depthoflowerenergynodesandbeable to swap the lower energy nodes with higher energy nodes to ensure consistent energy utilization. The proposed energy-efficientrouting protocol is based on an Genetically updated Algorithm and data fusion technique. In the proposed energy-efficient routing protocol,an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation thathelps determine the nodes. The pro-posed model also utilized an enhancedback propagation neural network for data fusion operation,which is based on multi-hop system and also operates a highly optimized momentum technique, which helps to choose only optimumenergy nodes and avoid duplicate selections that help to improve the overall energy and further reduce the quantity of data transmission.In the remaining energy and directions of each participating node. In the simulation, the proposed model achieves 86.7\% packet deliveryratio,keepingtheenergyusageat12.6\%and10.5\%packetlossratio}
}

TY  - JOUR
TI  - A ROUTING PROTOCOL FOR EFFICIENTLY MANAGING ENERGY IN UNDERWATER WIRELESS SENSOR NETWORKS WITH DEPTH CONTROL
AU  - Mr.A.NAGASUMAN
AU  - V.N.V.S.GEETHASRI
AU  - A.SAIPAVAN
AU  - V.S.HARIKA
AU  - A.Y.V.KRISHNA
JO  - Journal of Science & Technology
PY  - 2024
DA  - 2024/04/13/
VL  - 09
IS  - 04
SP  - 59
EP  - 73
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - In Underwater wireless sensor network attracted massive attention from researchers. In underwater wireless sensor network, manysensor nodes are distributed at different depths in the sea. Due to its complex nature, updating their location or adding new devices ispretty challenging. Due to the constraints on energy storage of underwater wireless sensor network end devices and the complexity ofrepairing or recharging the device underwater, this is highly significant to strengthen the energy performance of underwater wirelesssensor network. An imbalance in power usage can cause poor performance and a limited network lifetime. To overcome these issues, weproposeadepthcontrolledwithenergy-balancedroutingprotocol,whichwillbeabletoadjustthe depthoflowerenergynodesandbeable to swap the lower energy nodes with higher energy nodes to ensure consistent energy utilization. The proposed energy-efficientrouting protocol is based on an Genetically updated Algorithm and data fusion technique. In the proposed energy-efficient routing protocol,an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation thathelps determine the nodes. The pro-posed model also utilized an enhancedback propagation neural network for data fusion operation,which is based on multi-hop system and also operates a highly optimized momentum technique, which helps to choose only optimumenergy nodes and avoid duplicate selections that help to improve the overall energy and further reduce the quantity of data transmission.In the remaining energy and directions of each participating node. In the simulation, the proposed model achieves 86.7% packet deliveryratio,keepingtheenergyusageat12.6%and10.5%packetlossratio
DO  - 10.46243/jst.2024.v9.i4.pp59-73
UR  - https://doi.org/10.46243/jst.2024.v9.i4.pp59-73
ER  -

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    "DOI": "10.46243/jst.2024.v9.i4.pp59-73",
    "URL": "https://doi.org/10.46243/jst.2024.v9.i4.pp59-73",
    "title": "A ROUTING PROTOCOL FOR EFFICIENTLY MANAGING ENERGY IN UNDERWATER WIRELESS SENSOR NETWORKS WITH DEPTH CONTROL",
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            "family": "Mr.A.NAGASUMAN"
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        {
            "family": "V.N.V.S.GEETHASRI"
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        {
            "family": "V.S.HARIKA"
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    "abstract": "In Underwater wireless sensor network attracted massive attention from researchers. In underwater wireless sensor network, manysensor nodes are distributed at different depths in the sea. Due to its complex nature, updating their location or adding new devices ispretty challenging. Due to the constraints on energy storage of underwater wireless sensor network end devices and the complexity ofrepairing or recharging the device underwater, this is highly significant to strengthen the energy performance of underwater wirelesssensor network. An imbalance in power usage can cause poor performance and a limited network lifetime. To overcome these issues, weproposeadepthcontrolledwithenergy-balancedroutingprotocol,whichwillbeabletoadjustthe depthoflowerenergynodesandbeable to swap the lower energy nodes with higher energy nodes to ensure consistent energy utilization. The proposed energy-efficientrouting protocol is based on an Genetically updated Algorithm and data fusion technique. In the proposed energy-efficient routing protocol,an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation thathelps determine the nodes. The pro-posed model also utilized an enhancedback propagation neural network for data fusion operation,which is based on multi-hop system and also operates a highly optimized momentum technique, which helps to choose only optimumenergy nodes and avoid duplicate selections that help to improve the overall energy and further reduce the quantity of data transmission.In the remaining energy and directions of each participating node. In the simulation, the proposed model achieves 86.7% packet deliveryratio,keepingtheenergyusageat12.6%and10.5%packetlossratio",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2024.v9.i4.pp59-73 gives all four in one JSON answer.