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Efficient strategies to reduce power consumption in MANETs
In current circumstances, where amelioration in technology is elevating, power optimization is of grave concern, whilst perceiving portable conditions. The focus is to design an efficient system with an aim to reduce power consumption and improve performance of other metrics. Heterogeneous wireless...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924446/ https://www.ncbi.nlm.nih.gov/pubmed/33816881 http://dx.doi.org/10.7717/peerj-cs.228 |
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author | Fatima, Lubna Naaz Mahin, Syeda Hajra Taranum, Fahmina |
author_facet | Fatima, Lubna Naaz Mahin, Syeda Hajra Taranum, Fahmina |
author_sort | Fatima, Lubna Naaz |
collection | PubMed |
description | In current circumstances, where amelioration in technology is elevating, power optimization is of grave concern, whilst perceiving portable conditions. The focus is to design an efficient system with an aim to reduce power consumption and improve performance of other metrics. Heterogeneous wireless systems will command in the next-generation wireless networks with the aggregation of different remote access mechanisms. A node in MANET (Mobile Adhoc NETworks) while consuming significant amount of energy practices data transmission and data retrieval process whilst bonding with other neighboring nodes that are within its range. The proposed work implements User Specified energy model and DYMO (DYnamic Manet On-demand) routing protocol. Further, additional features of IEEE 802.11 i.e., Power Saving Mode is employed. To obtain enhanced coverage at targeted areas, multi-hop relay strategy is taken into account, also to achieve a less power consuming network with a greater service life. Consequently, the efficiency of the devices is monitored by opting Residual Life Accurate battery model, by using different datasets of Duracell AA and AAA batteries. Simultaneously, battery model, energy model and DYMO (DYnamic Manet On-demand) are applied for IEEE 802.16 to get a comparative assessment of power consumption between IEEE 802.11 and IEEE 802.16. Results are generated for both the architectures i.e., 802.11 and 802.16 for metrics such as residual amount of energy for varying simulation time for all the nodes and for energy consumption in AODV (Ad Hoc On-Demand Distance Vector) and DYMO (DYnamic Manet On-demand) routing protocol using Qualnet version 7.4. |
format | Online Article Text |
id | pubmed-7924446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79244462021-04-02 Efficient strategies to reduce power consumption in MANETs Fatima, Lubna Naaz Mahin, Syeda Hajra Taranum, Fahmina PeerJ Comput Sci Computer Networks and Communications In current circumstances, where amelioration in technology is elevating, power optimization is of grave concern, whilst perceiving portable conditions. The focus is to design an efficient system with an aim to reduce power consumption and improve performance of other metrics. Heterogeneous wireless systems will command in the next-generation wireless networks with the aggregation of different remote access mechanisms. A node in MANET (Mobile Adhoc NETworks) while consuming significant amount of energy practices data transmission and data retrieval process whilst bonding with other neighboring nodes that are within its range. The proposed work implements User Specified energy model and DYMO (DYnamic Manet On-demand) routing protocol. Further, additional features of IEEE 802.11 i.e., Power Saving Mode is employed. To obtain enhanced coverage at targeted areas, multi-hop relay strategy is taken into account, also to achieve a less power consuming network with a greater service life. Consequently, the efficiency of the devices is monitored by opting Residual Life Accurate battery model, by using different datasets of Duracell AA and AAA batteries. Simultaneously, battery model, energy model and DYMO (DYnamic Manet On-demand) are applied for IEEE 802.16 to get a comparative assessment of power consumption between IEEE 802.11 and IEEE 802.16. Results are generated for both the architectures i.e., 802.11 and 802.16 for metrics such as residual amount of energy for varying simulation time for all the nodes and for energy consumption in AODV (Ad Hoc On-Demand Distance Vector) and DYMO (DYnamic Manet On-demand) routing protocol using Qualnet version 7.4. PeerJ Inc. 2019-11-18 /pmc/articles/PMC7924446/ /pubmed/33816881 http://dx.doi.org/10.7717/peerj-cs.228 Text en ©2019 Fatima et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Computer Networks and Communications Fatima, Lubna Naaz Mahin, Syeda Hajra Taranum, Fahmina Efficient strategies to reduce power consumption in MANETs |
title | Efficient strategies to reduce power consumption in MANETs |
title_full | Efficient strategies to reduce power consumption in MANETs |
title_fullStr | Efficient strategies to reduce power consumption in MANETs |
title_full_unstemmed | Efficient strategies to reduce power consumption in MANETs |
title_short | Efficient strategies to reduce power consumption in MANETs |
title_sort | efficient strategies to reduce power consumption in manets |
topic | Computer Networks and Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924446/ https://www.ncbi.nlm.nih.gov/pubmed/33816881 http://dx.doi.org/10.7717/peerj-cs.228 |
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