Enhanced Chain-Cluster Based Mixed Routing Algorithm for Wireless Sensor Networks
Energy efficiency is a significant aspect in designing robust routing protocols for wireless sensor networks (WSNs). A reliable routing protocol has to be energy efficient and adaptive to the network size. To achieve high energy conservation and data aggregation, there are two major techniques, clus...
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Format: | Article |
Language: | English |
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University of Baghdad
2016-01-01
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Series: | Journal of Engineering |
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Online Access: | http://joe.uobaghdad.edu.iq/index.php/main/article/view/274 |
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author | Husam Kareem Farhan, Ass. Lect. |
author_facet | Husam Kareem Farhan, Ass. Lect. |
author_sort | Husam Kareem Farhan, Ass. Lect. |
collection | DOAJ |
description | Energy efficiency is a significant aspect in designing robust routing protocols for wireless sensor networks (WSNs). A reliable routing protocol has to be energy efficient and adaptive to the network size. To achieve high energy conservation and data aggregation, there are two major techniques, clusters and chains. In clustering technique, sensor networks are often divided into non-overlapping subsets called clusters. In chain technique, sensor nodes will be connected with the closest two neighbors, starting with the farthest node from the base station till the closest node to the base station. Each technique has its own advantages and disadvantages which motivate some researchers to come up with a hybrid routing algorithm that combines the full advantages of both cluster and chain techniques such as CCM (Chain-Cluster based Mixed routing). In this paper, introduce a routing algorithm relying on CCM algorithm called (Enhanced Chain-Cluster based Mixed routing) algorithm E-CCM. Simulation results show that E-CCM algorithm improves the performance of CCM algorithm in terms of three performance metrics which are: energy consumption, network lifetime, and (FND and LND). MATLAB program is used to develop and test the simulation process in a computer with the following specifications: windows 7 (32-operating system), core i5, RAM 4 GB, hard 512 GB. |
first_indexed | 2024-03-12T08:42:25Z |
format | Article |
id | doaj.art-e9f428fd077e42deb501c0c674d42cea |
institution | Directory Open Access Journal |
issn | 1726-4073 2520-3339 |
language | English |
last_indexed | 2024-03-12T08:42:25Z |
publishDate | 2016-01-01 |
publisher | University of Baghdad |
record_format | Article |
series | Journal of Engineering |
spelling | doaj.art-e9f428fd077e42deb501c0c674d42cea2023-09-02T16:43:37ZengUniversity of BaghdadJournal of Engineering1726-40732520-33392016-01-01221Enhanced Chain-Cluster Based Mixed Routing Algorithm for Wireless Sensor NetworksHusam Kareem Farhan, Ass. Lect.0Ministry of Education / Directorate of Baghdad Education (Karkh 3)Energy efficiency is a significant aspect in designing robust routing protocols for wireless sensor networks (WSNs). A reliable routing protocol has to be energy efficient and adaptive to the network size. To achieve high energy conservation and data aggregation, there are two major techniques, clusters and chains. In clustering technique, sensor networks are often divided into non-overlapping subsets called clusters. In chain technique, sensor nodes will be connected with the closest two neighbors, starting with the farthest node from the base station till the closest node to the base station. Each technique has its own advantages and disadvantages which motivate some researchers to come up with a hybrid routing algorithm that combines the full advantages of both cluster and chain techniques such as CCM (Chain-Cluster based Mixed routing). In this paper, introduce a routing algorithm relying on CCM algorithm called (Enhanced Chain-Cluster based Mixed routing) algorithm E-CCM. Simulation results show that E-CCM algorithm improves the performance of CCM algorithm in terms of three performance metrics which are: energy consumption, network lifetime, and (FND and LND). MATLAB program is used to develop and test the simulation process in a computer with the following specifications: windows 7 (32-operating system), core i5, RAM 4 GB, hard 512 GB.http://joe.uobaghdad.edu.iq/index.php/main/article/view/274wireless sensor networks, energy efficiency, cluster routing algorithm, chain routing algorithm. |
spellingShingle | Husam Kareem Farhan, Ass. Lect. Enhanced Chain-Cluster Based Mixed Routing Algorithm for Wireless Sensor Networks Journal of Engineering wireless sensor networks, energy efficiency, cluster routing algorithm, chain routing algorithm. |
title | Enhanced Chain-Cluster Based Mixed Routing Algorithm for Wireless Sensor Networks |
title_full | Enhanced Chain-Cluster Based Mixed Routing Algorithm for Wireless Sensor Networks |
title_fullStr | Enhanced Chain-Cluster Based Mixed Routing Algorithm for Wireless Sensor Networks |
title_full_unstemmed | Enhanced Chain-Cluster Based Mixed Routing Algorithm for Wireless Sensor Networks |
title_short | Enhanced Chain-Cluster Based Mixed Routing Algorithm for Wireless Sensor Networks |
title_sort | enhanced chain cluster based mixed routing algorithm for wireless sensor networks |
topic | wireless sensor networks, energy efficiency, cluster routing algorithm, chain routing algorithm. |
url | http://joe.uobaghdad.edu.iq/index.php/main/article/view/274 |
work_keys_str_mv | AT husamkareemfarhanasslect enhancedchainclusterbasedmixedroutingalgorithmforwirelesssensornetworks |