A Novel Reliable and Trust Objective Function for RPL-Based IoT Routing Protocol

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Argitaratua izan da:Computers, Materials, & Continua vol. 82, no. 2 (2025), p. 3467
Egile nagusia: Alotaibi, Mariam
Beste egile batzuk: Alwakeel, Sami, Alyahya, Aasem
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Tech Science Press
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022 |a 1546-2218 
022 |a 1546-2226 
024 7 |a 10.32604/cmc.2025.060599  |2 doi 
035 |a 3199833293 
045 2 |b d20250101  |b d20251231 
100 1 |a Alotaibi, Mariam 
245 1 |a A Novel Reliable and Trust Objective Function for RPL-Based IoT Routing Protocol 
260 |b Tech Science Press  |c 2025 
513 |a Journal Article 
520 3 |a The Internet of Things (IoT) integrates diverse devices into the Internet infrastructure, including sensors, meters, and wearable devices. Designing efficient IoT networks with these heterogeneous devices requires the selection of appropriate routing protocols, which is crucial for maintaining high Quality of Service (QoS). The Internet Engineering Task Force’s Routing Over Low Power and Lossy Networks (IETF ROLL) working group developed the IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) to meet these needs. While the initial RPL standard focused on single-metric route selection, ongoing research explores enhancing RPL by incorporating multiple routing metrics and developing new Objective Functions (OFs). This paper introduces a novel Objective Function (OF), the Reliable and Secure Objective Function (RSOF), designed to enhance the reliability and trustworthiness of parent selection at both the node and link levels within IoT and RPL routing protocols. The RSOF employs an adaptive parent node selection mechanism that incorporates multiple metrics, including Residual Energy (RE), Expected Transmission Count (ETX), Extended RPL Node Trustworthiness (ERNT), and a novel metric that measures node failure rate (NFR). In this mechanism, nodes with a high NFR are excluded from the parent selection process to improve network reliability and stability. The proposed RSOF was evaluated using random and grid topologies in the Cooja Simulator, with tests conducted across small, medium, and large-scale networks to examine the impact of varying node densities. The simulation results indicate a significant improvement in network performance, particularly in terms of average latency, packet acknowledgment ratio (PAR), packet delivery ratio (PDR), and Control Message Overhead (CMO), compared to the standard Minimum Rank with Hysteresis Objective Function (MRHOF). 
653 |a Residual energy 
653 |a Internet of Things 
653 |a Measuring instruments 
653 |a Network reliability 
653 |a Quality of service architectures 
653 |a Routing (telecommunications) 
653 |a Failure rates 
653 |a Network latency 
653 |a Topology 
653 |a Nodes 
653 |a Wearable technology 
653 |a Power management 
653 |a Trustworthiness 
653 |a Route selection 
653 |a Embedded systems 
653 |a Task forces 
653 |a Computer science 
653 |a Protocol 
653 |a Sensors 
653 |a Computer engineering 
653 |a Energy efficiency 
653 |a Working groups 
700 1 |a Alwakeel, Sami 
700 1 |a Alyahya, Aasem 
773 0 |t Computers, Materials, & Continua  |g vol. 82, no. 2 (2025), p. 3467 
786 0 |d ProQuest  |t Publicly Available Content Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3199833293/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3199833293/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch