Priority RPL for IOT Based Smart Manufacturing Industries
A routing protocol used in heterogeneous transport networks for low-power, lossy networks. This is a routing protocol for wireless networks. This protocol follows the same specifications as Zigbee, 6 lopan is IEEE 802.15. 4 Enables both many-to-one and one-to-one communication. To address the need...
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| Format: | Article |
| Language: | English |
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Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)
2023-12-01
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| Series: | Journal of Applied Engineering and Technological Science |
| Subjects: | |
| Online Access: | https://www.yrpipku.com/journal/index.php/jaets/article/view/3247 |
| _version_ | 1797208962816278528 |
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| author | Krishna Priya M Angeline Prasanna G |
| author_facet | Krishna Priya M Angeline Prasanna G |
| author_sort | Krishna Priya M |
| collection | DOAJ |
| description |
A routing protocol used in heterogeneous transport networks for low-power, lossy networks. This is a routing protocol for wireless networks. This protocol follows the same specifications as Zigbee, 6 lopan is IEEE 802.15. 4 Enables both many-to-one and one-to-one communication. To address the need for enhancing in this study proposes a novel methodology called RPL-PG (Routing Protocol for Low-Power and Lossy Networks Priority Generation). Initially sensors like Temperature, Humidity, Vibration, Proximity, Gas and Current Monitoring Sensors are used for smart manufacturing. Consequently, Destination Oriented Directed Acyclic Graph (DODAG) is used for RPL configuration. Based on selected RPL configuration the priority is generated using assign priority count and priority-based queuing. Finally, Fuzzy rules are used to select the RPL path and then update the DODAG finally reached the destination. The study involves setting up a simulated environment using appropriate tools, such as MATLAB. Experimental findings evaluate and compares performance measures, such as Energy Consumption, Network Life Time, Packet Loss Ratio, Packet Delivery Ratio (PDR), E2E Delay, and Network Throughput. The Energy Consumption of the proposed RPL-PG method achieves 43.6 % lower than 38 % and 35.8 % in terms of OMC-RPL and RMA-RP respectively.
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| first_indexed | 2024-03-07T14:16:58Z |
| format | Article |
| id | doaj.art-e7072c91b82540d4a9e16cc24f18b61c |
| institution | Directory Open Access Journal |
| issn | 2715-6087 2715-6079 |
| language | English |
| last_indexed | 2024-04-24T09:47:09Z |
| publishDate | 2023-12-01 |
| publisher | Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) |
| record_format | Article |
| series | Journal of Applied Engineering and Technological Science |
| spelling | doaj.art-e7072c91b82540d4a9e16cc24f18b61c2024-04-14T12:07:53ZengYayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)Journal of Applied Engineering and Technological Science2715-60872715-60792023-12-015110.37385/jaets.v5i1.3247Priority RPL for IOT Based Smart Manufacturing IndustriesKrishna Priya M0Angeline Prasanna G1PhD Research Scholar, Department of Computer Science, AJK College of Arts and Sciences, Coimbatore, Tamilnadu, India.AJK College of Arts and Sciences A routing protocol used in heterogeneous transport networks for low-power, lossy networks. This is a routing protocol for wireless networks. This protocol follows the same specifications as Zigbee, 6 lopan is IEEE 802.15. 4 Enables both many-to-one and one-to-one communication. To address the need for enhancing in this study proposes a novel methodology called RPL-PG (Routing Protocol for Low-Power and Lossy Networks Priority Generation). Initially sensors like Temperature, Humidity, Vibration, Proximity, Gas and Current Monitoring Sensors are used for smart manufacturing. Consequently, Destination Oriented Directed Acyclic Graph (DODAG) is used for RPL configuration. Based on selected RPL configuration the priority is generated using assign priority count and priority-based queuing. Finally, Fuzzy rules are used to select the RPL path and then update the DODAG finally reached the destination. The study involves setting up a simulated environment using appropriate tools, such as MATLAB. Experimental findings evaluate and compares performance measures, such as Energy Consumption, Network Life Time, Packet Loss Ratio, Packet Delivery Ratio (PDR), E2E Delay, and Network Throughput. The Energy Consumption of the proposed RPL-PG method achieves 43.6 % lower than 38 % and 35.8 % in terms of OMC-RPL and RMA-RP respectively. https://www.yrpipku.com/journal/index.php/jaets/article/view/3247Destination Oriented Directed Acyclic GraphRouting ProtocolLow-PowerLossy Networks |
| spellingShingle | Krishna Priya M Angeline Prasanna G Priority RPL for IOT Based Smart Manufacturing Industries Journal of Applied Engineering and Technological Science Destination Oriented Directed Acyclic Graph Routing Protocol Low-Power Lossy Networks |
| title | Priority RPL for IOT Based Smart Manufacturing Industries |
| title_full | Priority RPL for IOT Based Smart Manufacturing Industries |
| title_fullStr | Priority RPL for IOT Based Smart Manufacturing Industries |
| title_full_unstemmed | Priority RPL for IOT Based Smart Manufacturing Industries |
| title_short | Priority RPL for IOT Based Smart Manufacturing Industries |
| title_sort | priority rpl for iot based smart manufacturing industries |
| topic | Destination Oriented Directed Acyclic Graph Routing Protocol Low-Power Lossy Networks |
| url | https://www.yrpipku.com/journal/index.php/jaets/article/view/3247 |
| work_keys_str_mv | AT krishnapriyam priorityrplforiotbasedsmartmanufacturingindustries AT angelineprasannag priorityrplforiotbasedsmartmanufacturingindustries |