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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doaj-d59a8c859ba2498282dbcc90e058df492020-11-24T22:09:54ZengHindawi LimitedThe 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 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Anil Kumar Sagar D. K. Lobiyal |
spellingShingle |
Anil Kumar Sagar D. K. Lobiyal Fault Tolerant Coverage and Connectivity in Presence of Channel Randomness The Scientific World Journal |
author_facet |
Anil Kumar Sagar D. K. Lobiyal |
author_sort |
Anil Kumar Sagar |
title |
Fault Tolerant Coverage and Connectivity in Presence of Channel Randomness |
title_short |
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_sort |
fault tolerant coverage and connectivity in presence of channel randomness |
publisher |
Hindawi Limited |
series |
The Scientific World Journal |
issn |
2356-6140 1537-744X |
publishDate |
2014-01-01 |
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. |
url |
http://dx.doi.org/10.1155/2014/818135 |
work_keys_str_mv |
AT anilkumarsagar faulttolerantcoverageandconnectivityinpresenceofchannelrandomness AT dklobiyal faulttolerantcoverageandconnectivityinpresenceofchannelrandomness |
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1725810105022152704 |