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Hybrid multi-objective-optimization algorithm for energy efficient priority-based QoS routing in IoT networks

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Abstract

The growing requirement for real-time Internet of Things (IoT) applications has ended with Quality of Service (QoS) communication protocols. where heterogeneous IoT data collection and communication processing contains specific requirements in terms of energy, reliability, latency, and priority. Due to energy constraints, a proper estimation model for monitoring and control is accomplished by the objective of sensing and end-to-end communication respectively. Moreover, the connectivity that requires QoS routing, prioritization, and satisfying the QoS requirements are significant challenges in sensor networks. So, the Multi-objective Optimization for QoS Routing method is used to differentiating the traffics while data communication and gives the requirements to be caring about the network resource. In this paper, the Energy-Efficient Priority-based Multi-Objective QoS routing (PMQoSR) mechanism ensures the energy and QoS in IoT networks. The proposed system regulates the routing performance based on the QoS parameters, using an optimization technique for three hybrid algorithms, named as WLFA-Whale Lion Fireworks optimization algorithm with Fitness Function Routing mechanisms. The WLFA to prevent congestion and minimizes the localization error using and select the shortest path through the network period uses Priority label and time delay patterns when sending data to the destination. We evaluate its performance and existing competing schemes in terms of Energy-Efficient. This improvement is made possible by the hybrid WLFA protocol because of the modified CS algorithm and the weight parameters (Fitness Functions) namely distance, forwarding ratio, error rate, energy and buffer load that is positively influenced to increase the packet delivery rate of the data packets by selecting highly stable routes considering the optimal route. The results demonstrate that PMQoSR holds out considering network traffic, packets forwarding, error rate, energy, and distance between the nodes and also considers priority-aware routing to improve the traffic load, throughput, end-to-end delay, and packet delivery ratio when compared with the existing systems.

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Authors and Affiliations

  1. Information Science and Technology, Anna University, Chennai, India

    R. Thenmozhi

  2. Electronics and Communication Engineering, Anna University, Chennai, India

    P. Sakthivel

  3. College of Engineering Guindy, Anna University, Chennai, India

    K. Kulothungan

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  1. R. Thenmozhi
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  2. P. Sakthivel
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  3. K. Kulothungan
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Thenmozhi, R., Sakthivel, P. & Kulothungan, K. Hybrid multi-objective-optimization algorithm for energy efficient priority-based QoS routing in IoT networks. Wireless Netw (2022). https://doi.org/10.1007/s11276-021-02848-z

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