Efficient Routing Approach Using a Collaborative Strategy
Wireless sensor networks (WSNs) are a huge number of sensors, which are distributed in area monitoring to collect important signals. WSNs are widely used in several applications such as home automation, environment, and healthcare monitoring. However, most of these applications face various difficul...
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doaj-ee37873612c34c39b87afd957559becd2020-11-25T02:10:14ZengHindawi LimitedJournal of Sensors1687-725X1687-72682020-01-01202010.1155/2020/25470612547061Efficient Routing Approach Using a Collaborative StrategyLayla Aziz0Hanane Aznaoui1Computer Science Department, Cadi Ayyad University-FSTG, MoroccoComputer Science Department, Cadi Ayyad University-FSTG, MoroccoWireless sensor networks (WSNs) are a huge number of sensors, which are distributed in area monitoring to collect important signals. WSNs are widely used in several applications such as home automation, environment, and healthcare monitoring. However, most of these applications face various difficulties due to sensor design. Therefore, the major challenge of designing WSNs is saving the energy consumed during communication and extending the network lifetime. Multicriteria Decision Analysis (MCDA) methods have been exploited for saving network energy. However, the majority of researches focus on the Cluster Head (CH) selection. In this paper, we aim to enhance the process of forwarder selection using an efficient combined multicriteria model. The proposed scheme improved the intercluster communication by controlling the distance separating CHs from the sink node. To minimize the cluster density, this work consists of activating only sensor nodes that detect enough strong signals. The activation phase presents a fault-tolerant technique to succeed in the communication process. Moreover, the proposed work is aimed at selecting the most efficient hops, which are responsible for routing data to the sink using the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. Simulation results proved that our new protocol maximized the residual energy by 15% and 25% and the network lifetime by 35% and 47% compared to the Distributed Clustering Protocol using Voting and Priority (DCPVP) and Low-Energy Adaptive Clustering Hierarchy (LEACH), respectively.http://dx.doi.org/10.1155/2020/2547061 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Layla Aziz Hanane Aznaoui |
spellingShingle |
Layla Aziz Hanane Aznaoui Efficient Routing Approach Using a Collaborative Strategy Journal of Sensors |
author_facet |
Layla Aziz Hanane Aznaoui |
author_sort |
Layla Aziz |
title |
Efficient Routing Approach Using a Collaborative Strategy |
title_short |
Efficient Routing Approach Using a Collaborative Strategy |
title_full |
Efficient Routing Approach Using a Collaborative Strategy |
title_fullStr |
Efficient Routing Approach Using a Collaborative Strategy |
title_full_unstemmed |
Efficient Routing Approach Using a Collaborative Strategy |
title_sort |
efficient routing approach using a collaborative strategy |
publisher |
Hindawi Limited |
series |
Journal of Sensors |
issn |
1687-725X 1687-7268 |
publishDate |
2020-01-01 |
description |
Wireless sensor networks (WSNs) are a huge number of sensors, which are distributed in area monitoring to collect important signals. WSNs are widely used in several applications such as home automation, environment, and healthcare monitoring. However, most of these applications face various difficulties due to sensor design. Therefore, the major challenge of designing WSNs is saving the energy consumed during communication and extending the network lifetime. Multicriteria Decision Analysis (MCDA) methods have been exploited for saving network energy. However, the majority of researches focus on the Cluster Head (CH) selection. In this paper, we aim to enhance the process of forwarder selection using an efficient combined multicriteria model. The proposed scheme improved the intercluster communication by controlling the distance separating CHs from the sink node. To minimize the cluster density, this work consists of activating only sensor nodes that detect enough strong signals. The activation phase presents a fault-tolerant technique to succeed in the communication process. Moreover, the proposed work is aimed at selecting the most efficient hops, which are responsible for routing data to the sink using the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. Simulation results proved that our new protocol maximized the residual energy by 15% and 25% and the network lifetime by 35% and 47% compared to the Distributed Clustering Protocol using Voting and Priority (DCPVP) and Low-Energy Adaptive Clustering Hierarchy (LEACH), respectively. |
url |
http://dx.doi.org/10.1155/2020/2547061 |
work_keys_str_mv |
AT laylaaziz efficientroutingapproachusingacollaborativestrategy AT hananeaznaoui efficientroutingapproachusingacollaborativestrategy |
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1715555762284003328 |