首页|New Information Technology Findings Has Been Reported by Investigators at Islamic Azad University (Qfs-rpl: Mobility and Energy Aware Multi Path Routing Protocol for the Internet of Mobile Things Data Transfer Infrastructures)

New Information Technology Findings Has Been Reported by Investigators at Islamic Azad University (Qfs-rpl: Mobility and Energy Aware Multi Path Routing Protocol for the Internet of Mobile Things Data Transfer Infrastructures)

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By a News Reporter-Staff News Editor at Network Daily News - Fresh dataon Information Technology are presented in a new report. According to news reporting originating inOrumiyeh, Iran, by NewsRx journalists, research stated, “The Internet of Things (IoT) is a network ofvarious interconnected objects capable of collecting and exchanging data without human interaction. Theseobjects have limited processing power, storage space, memory, bandwidth and energy.”The news reporters obtained a quote from the research from Islamic Azad University, “Therefore, dueto these limitations, data transmission and routing are challenging issues where data collection and analysismethods are essential. The Routing Protocol for Low-power and Lossy Networks (RPL) is one of the bestalternatives to ensure routing in LoWPAN6 networks. However, RPL lacks scalability and basically designedfor non-dynamic devices. Another drawback of the RPL protocol is the lack of load balancing support,leading to unfair distribution of traffic in the network that may decrease network efficiency. This studyproposes a novel RPL-based routing protocol, QFS-RPL, using Q-learning algorithm policy and ideationfrom the Fisheye State Routing protocol. We have developed an algorithm for ease of data transferin the IoT, which provides better performance than existing protocols, especially when dealing with amobile network. To evaluate the performance of the proposed method, the Contiki operating systemand Cooja simulator have been used in scenarios with mobile and stationary nodes and random networktopologies. The results have been compared with RPL and mRPL. We have developed an algorithm forease of data transfer in the IoT, which provides better performance than existing protocols, especiallywhen dealing with a mobile network. The simulation outputs revealed that our scheme performs moreefficiently in load balancing, number of table entries, Packet Delivery Ratio (PDR), End-to-End (E2E)latency, network throughput, convergence speed, control packet overhead and Remaining Useful Lifetimein designed scenarios compared to other methods.”

OrumiyehIranAlgorithmsInformation TechnologyMobile NetworkNetworksRouting ProtocolIslamic Azad University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.25)