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...

Full description

Bibliographic Details
Main Authors: Layla Aziz, Hanane Aznaoui
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2020/2547061
id doaj-ee37873612c34c39b87afd957559becd
record_format Article
spelling 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
_version_ 1715555762284003328