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OF-FZ: An Optimized Objective Function for the Ipv6 Routing Protocol for LLNs.

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Title: OF-FZ: An Optimized Objective Function for the Ipv6 Routing Protocol for LLNs.
Authors: Kuwelkar, Sonia1 (AUTHOR) sonia@gec.ac.in, Virani, Hassanali Gulamali1 (AUTHOR) virani@gec.ac.in
Source: IETE Journal of Research. Sep2023, Vol. 69 Issue 9, p6101-6119. 19p.
Subjects: Internet Engineering Task Force (Organization), End-to-end delay, Computer performance, Process capability, Internet protocol version 6, Sensor networks, Fuzzy logic, Routing algorithms
Abstract: Internet of Things (IoT) has seen a lot of traction over the last few years and is expected to play a major role in controlling devices and communication. IoT network involves sensors with constrained memory, limited processing and power capabilities. The process of network formation largely decides the Quality of service in these networks. IPv6 Routing Protocol for LLNs (RPL) is specially designed by the IETF ROLL working group to cater to routing requirements in such networks. In RPL, an Objective function specifies a set of metrics or constraints which can be used as criteria for best parent and path selection, ensuring a faster route to the destination. In our work, we propose a novel objective function OF-FZ, which uses four metrics to make routing decisions. Fuzzy Logic is used to combine the metrics hop count (HC), ETX, delay and node residual energy (RE) to obtain a single decision metric termed as Quality Assurance (QA) score. During routing, a neighbor node having the highest QA score is chosen as the best parent. The proposed Objective Function leads to significant savings in energy consumption (EC) (9% lower), Packet Delivery Ratio (PDR) (3% higher), End-to-end Delay (8% lower) as compared to existing OFs. Controlling advertisement messages circulating in the network leads to a significant reduction in control overhead to the tune of 45%. Performance evaluation and deep dive of OF-FZ is done in three configurations: network scalability, increasing packet transmission rates and multi-sink scenarios using Contiki OS and COOJA network simulator. [ABSTRACT FROM AUTHOR]
Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Internet of Things (IoT) has seen a lot of traction over the last few years and is expected to play a major role in controlling devices and communication. IoT network involves sensors with constrained memory, limited processing and power capabilities. The process of network formation largely decides the Quality of service in these networks. IPv6 Routing Protocol for LLNs (RPL) is specially designed by the IETF ROLL working group to cater to routing requirements in such networks. In RPL, an Objective function specifies a set of metrics or constraints which can be used as criteria for best parent and path selection, ensuring a faster route to the destination. In our work, we propose a novel objective function OF-FZ, which uses four metrics to make routing decisions. Fuzzy Logic is used to combine the metrics hop count (HC), ETX, delay and node residual energy (RE) to obtain a single decision metric termed as Quality Assurance (QA) score. During routing, a neighbor node having the highest QA score is chosen as the best parent. The proposed Objective Function leads to significant savings in energy consumption (EC) (9% lower), Packet Delivery Ratio (PDR) (3% higher), End-to-end Delay (8% lower) as compared to existing OFs. Controlling advertisement messages circulating in the network leads to a significant reduction in control overhead to the tune of 45%. Performance evaluation and deep dive of OF-FZ is done in three configurations: network scalability, increasing packet transmission rates and multi-sink scenarios using Contiki OS and COOJA network simulator. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/03772063.2021.1990139
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        Text: English
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      – SubjectFull: Internet Engineering Task Force (Organization)
        Type: general
      – SubjectFull: End-to-end delay
        Type: general
      – SubjectFull: Computer performance
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      – SubjectFull: Process capability
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      – SubjectFull: Internet protocol version 6
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      – SubjectFull: Sensor networks
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      – SubjectFull: Fuzzy logic
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      – SubjectFull: Routing algorithms
        Type: general
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      – TitleFull: OF-FZ: An Optimized Objective Function for the Ipv6 Routing Protocol for LLNs.
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            NameFull: Kuwelkar, Sonia
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            NameFull: Virani, Hassanali Gulamali
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              M: 09
              Text: Sep2023
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              Y: 2023
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