Energy Efficient Routing Algorithm with Mobile Sink Support for Wireless Sensor Networks
Recently, wireless sensor network (WSN) has drawn wide attention. It can be viewed as a network with lots of sensors that are autonomously organized and cooperate with each other to collect, process, and transmit data around targets to some remote administrative center. As such, sensors may be deplo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/7/1494 |
| _version_ | 1811306628321902592 |
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| author | Jin Wang Yu Gao Wei Liu Arun Kumar Sangaiah Hye-Jin Kim |
| author_facet | Jin Wang Yu Gao Wei Liu Arun Kumar Sangaiah Hye-Jin Kim |
| author_sort | Jin Wang |
| collection | DOAJ |
| description | Recently, wireless sensor network (WSN) has drawn wide attention. It can be viewed as a network with lots of sensors that are autonomously organized and cooperate with each other to collect, process, and transmit data around targets to some remote administrative center. As such, sensors may be deployed in harsh environments where it is impossible for battery replacement. Therefore, energy efficient routing is crucial for applications that introduce WSNs. In this paper, we present an energy efficient routing schema combined with clustering and sink mobility technology. We first divide the whole sensor field into sectors and each sector elects a Cluster Head (CH) by calculating its members’ weight. Member nodes calculate energy consumption of different routing paths to choose the optimal scenario. Then CHs are connected into a chain using the greedy algorithm for intercluster communication. Simulation results prove the presented schema outperforms some similar work such as Cluster-Chain Mobile Agent Routing (CCMAR) and Energy-efficient Cluster-based Dynamic Routing Algorithm (ECDRA). Additionally, we explore the influence of different network parameters on the performance of the network and further enhance its performance. |
| first_indexed | 2024-04-13T08:47:46Z |
| format | Article |
| id | doaj.art-6c005887db9a4aca8647e29fa37d2c2d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:47:46Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6c005887db9a4aca8647e29fa37d2c2d2022-12-22T02:53:35ZengMDPI AGSensors1424-82202019-03-01197149410.3390/s19071494s19071494Energy Efficient Routing Algorithm with Mobile Sink Support for Wireless Sensor NetworksJin Wang0Yu Gao1Wei Liu2Arun Kumar Sangaiah3Hye-Jin Kim4Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha 410000, ChinaCollege of Information Engineering, Yangzhou University, Yangzhou 225000, ChinaCollege of Information Engineering, Yangzhou University, Yangzhou 225000, ChinaSchool of Computing Science and Engineering, Vellore Institute of Technology (VIT), Tamil Nadu 632014, IndiaBusiness Administration Research Institute, Sungshin W. University, Seoul 100744, KoreaRecently, wireless sensor network (WSN) has drawn wide attention. It can be viewed as a network with lots of sensors that are autonomously organized and cooperate with each other to collect, process, and transmit data around targets to some remote administrative center. As such, sensors may be deployed in harsh environments where it is impossible for battery replacement. Therefore, energy efficient routing is crucial for applications that introduce WSNs. In this paper, we present an energy efficient routing schema combined with clustering and sink mobility technology. We first divide the whole sensor field into sectors and each sector elects a Cluster Head (CH) by calculating its members’ weight. Member nodes calculate energy consumption of different routing paths to choose the optimal scenario. Then CHs are connected into a chain using the greedy algorithm for intercluster communication. Simulation results prove the presented schema outperforms some similar work such as Cluster-Chain Mobile Agent Routing (CCMAR) and Energy-efficient Cluster-based Dynamic Routing Algorithm (ECDRA). Additionally, we explore the influence of different network parameters on the performance of the network and further enhance its performance.https://www.mdpi.com/1424-8220/19/7/1494Wireless sensor network (WSN)clusteringmobile sinkmoving trajectory schedulingenergy efficiency |
| spellingShingle | Jin Wang Yu Gao Wei Liu Arun Kumar Sangaiah Hye-Jin Kim Energy Efficient Routing Algorithm with Mobile Sink Support for Wireless Sensor Networks Sensors Wireless sensor network (WSN) clustering mobile sink moving trajectory scheduling energy efficiency |
| title | Energy Efficient Routing Algorithm with Mobile Sink Support for Wireless Sensor Networks |
| title_full | Energy Efficient Routing Algorithm with Mobile Sink Support for Wireless Sensor Networks |
| title_fullStr | Energy Efficient Routing Algorithm with Mobile Sink Support for Wireless Sensor Networks |
| title_full_unstemmed | Energy Efficient Routing Algorithm with Mobile Sink Support for Wireless Sensor Networks |
| title_short | Energy Efficient Routing Algorithm with Mobile Sink Support for Wireless Sensor Networks |
| title_sort | energy efficient routing algorithm with mobile sink support for wireless sensor networks |
| topic | Wireless sensor network (WSN) clustering mobile sink moving trajectory scheduling energy efficiency |
| url | https://www.mdpi.com/1424-8220/19/7/1494 |
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