Fault Tolerant Mobile Sensor Node Traversal Schemes Based on Hexagonal Coverage

Mobile sensor nodes (MSNs) are equipped with locomotive can move around after having been deployed. They are equipped with limited energy. A large portion of energy is drained during the traversal. In order to extend the life time of a MSN, the traveling distance must be minimized. Region of intere...

Full description

Bibliographic Details
Main Authors: Ganala Santoshi, R. J. D’Souza
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/130793
id doaj-d12f73eea334477bba42ab508740905b
record_format Article
spelling doaj-d12f73eea334477bba42ab508740905b2020-11-25T00:12:43ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/130793130793Fault Tolerant Mobile Sensor Node Traversal Schemes Based on Hexagonal CoverageGanala Santoshi0R. J. D’Souza1Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka, Surathkal, Mangalore 575025, IndiaDepartment of Mathematical and Computational Sciences, National Institute of Technology Karnataka, Surathkal, Mangalore 575025, IndiaMobile sensor nodes (MSNs) are equipped with locomotive can move around after having been deployed. They are equipped with limited energy. A large portion of energy is drained during the traversal. In order to extend the life time of a MSN, the traveling distance must be minimized. Region of interest (ROI) is covered with multiple MSNs using coverage based pattern movement. When a group of MSNs are deployed to cover a given ROI, all the deployed MSNs should travel an approximately equal distance. Otherwise, the MSN which travels longer distance depletes more energy compared to the MSN which travels a shorter distance. In this work we show that, ROI partition plays great role in hole free coverage and makes the MSNs have optimized movement cost with fault tolerant support.http://dx.doi.org/10.1155/2014/130793
collection DOAJ
language English
format Article
sources DOAJ
author Ganala Santoshi
R. J. D’Souza
spellingShingle Ganala Santoshi
R. J. D’Souza
Fault Tolerant Mobile Sensor Node Traversal Schemes Based on Hexagonal Coverage
The Scientific World Journal
author_facet Ganala Santoshi
R. J. D’Souza
author_sort Ganala Santoshi
title Fault Tolerant Mobile Sensor Node Traversal Schemes Based on Hexagonal Coverage
title_short Fault Tolerant Mobile Sensor Node Traversal Schemes Based on Hexagonal Coverage
title_full Fault Tolerant Mobile Sensor Node Traversal Schemes Based on Hexagonal Coverage
title_fullStr Fault Tolerant Mobile Sensor Node Traversal Schemes Based on Hexagonal Coverage
title_full_unstemmed Fault Tolerant Mobile Sensor Node Traversal Schemes Based on Hexagonal Coverage
title_sort fault tolerant mobile sensor node traversal schemes based on hexagonal coverage
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description Mobile sensor nodes (MSNs) are equipped with locomotive can move around after having been deployed. They are equipped with limited energy. A large portion of energy is drained during the traversal. In order to extend the life time of a MSN, the traveling distance must be minimized. Region of interest (ROI) is covered with multiple MSNs using coverage based pattern movement. When a group of MSNs are deployed to cover a given ROI, all the deployed MSNs should travel an approximately equal distance. Otherwise, the MSN which travels longer distance depletes more energy compared to the MSN which travels a shorter distance. In this work we show that, ROI partition plays great role in hole free coverage and makes the MSNs have optimized movement cost with fault tolerant support.
url http://dx.doi.org/10.1155/2014/130793
work_keys_str_mv AT ganalasantoshi faulttolerantmobilesensornodetraversalschemesbasedonhexagonalcoverage
AT rjdsouza faulttolerantmobilesensornodetraversalschemesbasedonhexagonalcoverage
_version_ 1725397765043781632