IoT Resource Allocation and Optimization Using Improved Reptile Search Algorithm

Abstract

The Internet of Things (IoT) is a dispersed network system that connects the world through the Internet. The architecture of IoT consists of more gateways and resources which cannot be allocated in a manual process. The allocation of resources in IoT is a challenging process due to the higher consumption of energy and high latency rate. To overcome the challenges in existing works, this research introduced an Improved Reptile Search Algorithm (IRSA) to solve the optimization problem which occurs during the time of allocation resources among IoT networks. IRSA employs the methodology of levy flight and cross-over to update the candidate position and enhance the search speed in a single iteration. The proposed method consumes less energy and has low latency during data transmission from User equipment (UE) to the base station.IRSA has been compared with the existing Scalable Resource Allocation Framework (SRAF) and Improved Chaotic Firefly Algorithm (ICFA). The obtained experimental results show that the proposed IRSA attained better performance with an allocation rate of 96.40% which is comparatively higher than SRAF and ICFA with 92.40% and 91.67% respectively.

Adaptive Multi-Criteria-Based Load Balancing Technique for Resource Allocation in Fog-Cloud Environments

“…Maswood et al [36] studied the integration of a fog cloud to reduce the cost of resources and minimize delays in real-time applications and operations. The performance of the proposed model was investigated in terms of links and server utilization, bandwidth cost, and several machines used.The IRSA is utilized in solving the optimization problem in [37]. IRSA is an advancement in the RSA where Levy and crossover methodologies are utilized.…”

“…Singh et al [17], [18] conducted a comparison study based on their research regarding different loadbalancing approaches, algorithms, and taxonomies. In this context, the authors in [19] introduced an Improved Reptile Search Algorithm (IRSA) to solve the optimization problem which occurs during the time of allocation resources among IoT networks. IRSA employs the methodology of levy flight and cross-over to update the candidate position and enhance the search speed in a single iteration.…”