Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling
Routing in MANET is very challenging due to movement of nodes. Predicting the node position and routing based on predicted positions helps to establish routing path with much longevity. Most predictions approaches are based on the past locations of the node. In this work a node location prediction b...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Elsevier
2022-06-01
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Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157819310304 |
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author | N.S. Saba Farheen Anuj Jain |
author_facet | N.S. Saba Farheen Anuj Jain |
author_sort | N.S. Saba Farheen |
collection | DOAJ |
description | Routing in MANET is very challenging due to movement of nodes. Predicting the node position and routing based on predicted positions helps to establish routing path with much longevity. Most predictions approaches are based on the past locations of the node. In this work a node location prediction based on the temporal and spatial characteristics with respect to its neighborhood is applied to estimate the probable locations using a hybrid model. A multi path routing protocol based on estimated probability locations with path diversion at necessary places along path is proposed for improved routing performance without larger packet overhead. |
first_indexed | 2024-04-12T13:20:20Z |
format | Article |
id | doaj.art-0d292bcd27d94b40a4e5593fcec8d299 |
institution | Directory Open Access Journal |
issn | 1319-1578 |
language | English |
last_indexed | 2024-04-12T13:20:20Z |
publishDate | 2022-06-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of King Saud University: Computer and Information Sciences |
spelling | doaj.art-0d292bcd27d94b40a4e5593fcec8d2992022-12-22T03:31:29ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782022-06-0134624432450Improved routing in MANET with optimized multi path routing fine tuned with hybrid modelingN.S. Saba Farheen0Anuj Jain1Corresponding author.; Bhagwant University, IndiaBhagwant University, IndiaRouting in MANET is very challenging due to movement of nodes. Predicting the node position and routing based on predicted positions helps to establish routing path with much longevity. Most predictions approaches are based on the past locations of the node. In this work a node location prediction based on the temporal and spatial characteristics with respect to its neighborhood is applied to estimate the probable locations using a hybrid model. A multi path routing protocol based on estimated probability locations with path diversion at necessary places along path is proposed for improved routing performance without larger packet overhead.http://www.sciencedirect.com/science/article/pii/S1319157819310304Mobile Ad Hoc Network (MANET)Mobility predictionRoutingSpatial characteristicsMobile hosts (MHs) |
spellingShingle | N.S. Saba Farheen Anuj Jain Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling Journal of King Saud University: Computer and Information Sciences Mobile Ad Hoc Network (MANET) Mobility prediction Routing Spatial characteristics Mobile hosts (MHs) |
title | Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling |
title_full | Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling |
title_fullStr | Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling |
title_full_unstemmed | Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling |
title_short | Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling |
title_sort | improved routing in manet with optimized multi path routing fine tuned with hybrid modeling |
topic | Mobile Ad Hoc Network (MANET) Mobility prediction Routing Spatial characteristics Mobile hosts (MHs) |
url | http://www.sciencedirect.com/science/article/pii/S1319157819310304 |
work_keys_str_mv | AT nssabafarheen improvedroutinginmanetwithoptimizedmultipathroutingfinetunedwithhybridmodeling AT anujjain improvedroutinginmanetwithoptimizedmultipathroutingfinetunedwithhybridmodeling |