E-MCDA: Extended-Multilayer Cluster Designing Algorithm for Network Lifetime Improvement of Homogenous Wireless Sensor Networks
The proposed idea in this paper is the constructive ramification of cluster designing mechanism floated in recently published work, multilayer cluster designing algorithm (MCDA) to ameliorate the performance in network lifetime. Novel algorithms for time slot allocation, minimizing the cluster head...
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Online Access: | https://doi.org/10.1155/2015/902581 |
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doaj-7aa086915d564afcb45ed032c0ffcfe32020-11-25T03:44:02ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-09-011110.1155/2015/902581902581E-MCDA: Extended-Multilayer Cluster Designing Algorithm for Network Lifetime Improvement of Homogenous Wireless Sensor NetworksSohail Jabbar0Abid Ali Minhas1Moneeb Gohar2Anand Paul3Seungmin Rho4 Department of Computer Science, COMSATS Institute of Information Technology, Sahiwal 57000, Pakistan College of Computer and Information Systems, Al Yamamah University, P.O. Box 45180, Riyadh 11512, Saudi Arabia Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 712-749, Republic of Korea School of Computer Science and Engineering, Kyungpook National University, Daegu 702-701, Republic of Korea Department of Multimedia, Sungkyul University, Anyang-si, Republic of KoreaThe proposed idea in this paper is the constructive ramification of cluster designing mechanism floated in recently published work, multilayer cluster designing algorithm (MCDA) to ameliorate the performance in network lifetime. Novel algorithms for time slot allocation, minimizing the cluster head completion candidates, and cluster member selection∖node affiliation to cluster head play underpinning roles to achieve the target. These incorporations in MCDA result in minimizing transmissions, suppressing unfavorable response of transmissions and near-equal size and equal load clusters. We have done extensive simulations in NS2 and evaluate the performance of E-MCDA in energy consumption at various aspects of energy, packets transmission, number of designed clusters, number of nodes per cluster, and unclustered nodes. It is found that the proposed mechanism optimistically outperforms the competition with MCD and EADUC.https://doi.org/10.1155/2015/902581 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sohail Jabbar Abid Ali Minhas Moneeb Gohar Anand Paul Seungmin Rho |
spellingShingle |
Sohail Jabbar Abid Ali Minhas Moneeb Gohar Anand Paul Seungmin Rho E-MCDA: Extended-Multilayer Cluster Designing Algorithm for Network Lifetime Improvement of Homogenous Wireless Sensor Networks International Journal of Distributed Sensor Networks |
author_facet |
Sohail Jabbar Abid Ali Minhas Moneeb Gohar Anand Paul Seungmin Rho |
author_sort |
Sohail Jabbar |
title |
E-MCDA: Extended-Multilayer Cluster Designing Algorithm for Network Lifetime Improvement of Homogenous Wireless Sensor Networks |
title_short |
E-MCDA: Extended-Multilayer Cluster Designing Algorithm for Network Lifetime Improvement of Homogenous Wireless Sensor Networks |
title_full |
E-MCDA: Extended-Multilayer Cluster Designing Algorithm for Network Lifetime Improvement of Homogenous Wireless Sensor Networks |
title_fullStr |
E-MCDA: Extended-Multilayer Cluster Designing Algorithm for Network Lifetime Improvement of Homogenous Wireless Sensor Networks |
title_full_unstemmed |
E-MCDA: Extended-Multilayer Cluster Designing Algorithm for Network Lifetime Improvement of Homogenous Wireless Sensor Networks |
title_sort |
e-mcda: extended-multilayer cluster designing algorithm for network lifetime improvement of homogenous wireless sensor networks |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2015-09-01 |
description |
The proposed idea in this paper is the constructive ramification of cluster designing mechanism floated in recently published work, multilayer cluster designing algorithm (MCDA) to ameliorate the performance in network lifetime. Novel algorithms for time slot allocation, minimizing the cluster head completion candidates, and cluster member selection∖node affiliation to cluster head play underpinning roles to achieve the target. These incorporations in MCDA result in minimizing transmissions, suppressing unfavorable response of transmissions and near-equal size and equal load clusters. We have done extensive simulations in NS2 and evaluate the performance of E-MCDA in energy consumption at various aspects of energy, packets transmission, number of designed clusters, number of nodes per cluster, and unclustered nodes. It is found that the proposed mechanism optimistically outperforms the competition with MCD and EADUC. |
url |
https://doi.org/10.1155/2015/902581 |
work_keys_str_mv |
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