Fault Tolerant Coverage and Connectivity in Presence of Channel Randomness

Some applications of wireless sensor network require K-coverage and K-connectivity to ensure the system to be fault tolerance and to make it more reliable. Therefore, it makes coverage and connectivity an important issue in wireless sensor networks. In this paper, we proposed K-coverage and K-connec...

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Main Authors: Anil Kumar Sagar, D. K. Lobiyal
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/818135
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author Anil Kumar Sagar
D. K. Lobiyal
author_facet Anil Kumar Sagar
D. K. Lobiyal
author_sort Anil Kumar Sagar
collection DOAJ
description Some applications of wireless sensor network require K-coverage and K-connectivity to ensure the system to be fault tolerance and to make it more reliable. Therefore, it makes coverage and connectivity an important issue in wireless sensor networks. In this paper, we proposed K-coverage and K-connectivity models for wireless sensor networks. In both models, nodes are distributed according to Poisson distribution in the sensor field. To make the proposed model more realistic we used log-normal shadowing path loss model to capture the radio irregularities and studied its impact on K-coverage and K-connectivity. The value of K can be different for different types of applications. Further, we also analyzed the problem of node failure for K-coverage model. In the simulation section, results clearly show that coverage and connectivity of wireless sensor network depend on the node density, shadowing parameters like the path loss exponent, and standard deviation.
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spelling doaj-art-d59a8c859ba2498282dbcc90e058df492025-08-20T03:19:33ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/818135818135Fault Tolerant Coverage and Connectivity in Presence of Channel RandomnessAnil Kumar Sagar0D. K. Lobiyal1School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, IndiaSchool of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, IndiaSome applications of wireless sensor network require K-coverage and K-connectivity to ensure the system to be fault tolerance and to make it more reliable. Therefore, it makes coverage and connectivity an important issue in wireless sensor networks. In this paper, we proposed K-coverage and K-connectivity models for wireless sensor networks. In both models, nodes are distributed according to Poisson distribution in the sensor field. To make the proposed model more realistic we used log-normal shadowing path loss model to capture the radio irregularities and studied its impact on K-coverage and K-connectivity. The value of K can be different for different types of applications. Further, we also analyzed the problem of node failure for K-coverage model. In the simulation section, results clearly show that coverage and connectivity of wireless sensor network depend on the node density, shadowing parameters like the path loss exponent, and standard deviation.http://dx.doi.org/10.1155/2014/818135
spellingShingle Anil Kumar Sagar
D. K. Lobiyal
Fault Tolerant Coverage and Connectivity in Presence of Channel Randomness
The Scientific World Journal
title Fault Tolerant Coverage and Connectivity in Presence of Channel Randomness
title_full Fault Tolerant Coverage and Connectivity in Presence of Channel Randomness
title_fullStr Fault Tolerant Coverage and Connectivity in Presence of Channel Randomness
title_full_unstemmed Fault Tolerant Coverage and Connectivity in Presence of Channel Randomness
title_short Fault Tolerant Coverage and Connectivity in Presence of Channel Randomness
title_sort fault tolerant coverage and connectivity in presence of channel randomness
url http://dx.doi.org/10.1155/2014/818135
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AT dklobiyal faulttolerantcoverageandconnectivityinpresenceofchannelrandomness