Improving Quality Indicators of the Cloud-Based IoT Networks Using an Improved Form of Seagull Optimization Algorithm

• Published in: Future internet Vol. 14; no. 10; p. 281
• Main Author: Al-Khafaji, Hamza Mohammed Ridha
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2022
• Subjects: Algorithms; Cloud computing; Customer services; Embedded systems; Energy consumption; Heuristic methods; Indicators; Internet of Things; Investigations; IoT; ISOA; New technology; Optimization; Optimization algorithms; Performance evaluation; QoS; quality indicators; Quality of service; Scheduling; Software services; Traffic management; Wireless networks
• ISSN: 1999-5903; 1999-5903
• DOI: 10.3390/fi14100281

The Internet of things (IoT) points to billions of devices located worldwide which are connected and share their data based on the Internet. Due to the new technologies that provide cheap computer chips and universal wireless networks, it is feasible that everything from a small tablet to a very large airplane will be connected to the Internet and will be a part of the IoT. In most applications, IoT network nodes face limitations in terms of energy source and cost. Therefore, the need for innovative methods to improve quality indicators that increase the lifespan of networks is evident. Here, a novel technique is presented to increase the quality of service (QoS) in IoT using an improved meta-heuristic algorithm, called the improved seagull optimization algorithm (ISOA), along with traffic management in these networks. Based on this subject, the traffic-aware algorithm can manage the sending of packets and increase the QoS provision in terms of time to a great extent. The performance evaluation of the proposed method and comparison with the previous methods demonstrated the accuracy and efficiency of this method and its superiority over the previous works.