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...

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Main Authors: N.S. Saba Farheen, Anuj Jain
Format: Article
Language:English
Published: Elsevier 2022-06-01
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.
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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