Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor Network
In modern trends, wireless sensor networks (WSNs) are interesting, and distributed in the environment to evaluate received data. The sensor nodes have a higher capacity to sense and transmit the information. A WSN contains low-cost, low-power, multi-function sensor nodes, with limited computational...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/10/3761 |
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| author | Rajathi Natarajan Geetha Megharaj Adam Marchewka Parameshachari Bidare Divakarachari Manoj Raghubir Hans |
| author_facet | Rajathi Natarajan Geetha Megharaj Adam Marchewka Parameshachari Bidare Divakarachari Manoj Raghubir Hans |
| author_sort | Rajathi Natarajan |
| collection | DOAJ |
| description | In modern trends, wireless sensor networks (WSNs) are interesting, and distributed in the environment to evaluate received data. The sensor nodes have a higher capacity to sense and transmit the information. A WSN contains low-cost, low-power, multi-function sensor nodes, with limited computational capabilities, used for observing environmental constraints. In previous research, many energy-efficient routing methods were suggested to improve the time of the network by minimizing energy consumption; sometimes, the sensor nodes run out of power quickly. The majority of recent articles present various methods aimed at reducing energy usage in sensor networks. In this paper, an energy-efficient clustering/routing technique, called the energy and distance based multi-objective red fox optimization algorithm (ED-MORFO), was proposed to reduce energy consumption. In each communication round of transmission, this technique selects the cluster head (CH) with the most residual energy, and finds the optimal routing to the base station. The simulation clearly shows that the proposed ED-MORFO achieves better performance in terms of energy consumption (0.46 J), packet delivery ratio (99.4%), packet loss rate (0.6%), end-to-end delay (11 s), routing overhead (0.11), throughput (0.99 Mbps), and network lifetime (3719 s), when compared with existing MCH-EOR and RDSAOA-EECP methods. |
| first_indexed | 2024-03-10T01:53:48Z |
| format | Article |
| id | doaj.art-34ed225982de42dfa4611fdf3761eacc |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:53:48Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-34ed225982de42dfa4611fdf3761eacc2023-11-23T13:00:44ZengMDPI AGSensors1424-82202022-05-012210376110.3390/s22103761Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor NetworkRajathi Natarajan0Geetha Megharaj1Adam Marchewka2Parameshachari Bidare Divakarachari3Manoj Raghubir Hans4Department of Information Technology, Kumaraguru College of Technology, Coimbatore 641049, IndiaDepartment of Artificial Intelligence and Machine Learning, Sri Krishna Institute of Technology, Bangalore 560090, IndiaFaculty of Telecommunications, Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology, 85-796 Bydgoszcz, PolandDepartment of Telecommunication Engineering, GSSS Institute of Engineering and Technology for Women, Mysuru 570016, IndiaDepartment of ECE, School of Engineering, MITADT University, Pune 412201, IndiaIn modern trends, wireless sensor networks (WSNs) are interesting, and distributed in the environment to evaluate received data. The sensor nodes have a higher capacity to sense and transmit the information. A WSN contains low-cost, low-power, multi-function sensor nodes, with limited computational capabilities, used for observing environmental constraints. In previous research, many energy-efficient routing methods were suggested to improve the time of the network by minimizing energy consumption; sometimes, the sensor nodes run out of power quickly. The majority of recent articles present various methods aimed at reducing energy usage in sensor networks. In this paper, an energy-efficient clustering/routing technique, called the energy and distance based multi-objective red fox optimization algorithm (ED-MORFO), was proposed to reduce energy consumption. In each communication round of transmission, this technique selects the cluster head (CH) with the most residual energy, and finds the optimal routing to the base station. The simulation clearly shows that the proposed ED-MORFO achieves better performance in terms of energy consumption (0.46 J), packet delivery ratio (99.4%), packet loss rate (0.6%), end-to-end delay (11 s), routing overhead (0.11), throughput (0.99 Mbps), and network lifetime (3719 s), when compared with existing MCH-EOR and RDSAOA-EECP methods.https://www.mdpi.com/1424-8220/22/10/3761cluster headwireless sensor networksmulti-objective red fox optimizationenergy consumptionnetwork lifetime |
| spellingShingle | Rajathi Natarajan Geetha Megharaj Adam Marchewka Parameshachari Bidare Divakarachari Manoj Raghubir Hans Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor Network Sensors cluster head wireless sensor networks multi-objective red fox optimization energy consumption network lifetime |
| title | Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor Network |
| title_full | Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor Network |
| title_fullStr | Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor Network |
| title_full_unstemmed | Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor Network |
| title_short | Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor Network |
| title_sort | energy and distance based multi objective red fox optimization algorithm in wireless sensor network |
| topic | cluster head wireless sensor networks multi-objective red fox optimization energy consumption network lifetime |
| url | https://www.mdpi.com/1424-8220/22/10/3761 |
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