A novel simulation-annealing enabled ranking and scaling statistical simulation constrained optimization algorithm for Internet-of-things (IoTs)

Abstract

PurposeSimulation-based optimization is a decision-making tool for identifying an optimal design of a system. Here, optimal design means a smart system with sensing, computing and control capabilities with improved efficiency. As compared to testing the physical prototype, computer-based simulation provides much cheaper, faster and lesser time-and resource-consuming solutions. In this work, a comparative analysis of heuristic simulation optimization methods (genetic algorithms, evolutionary strategies, simulated annealing, tabu search and simplex search) is performed.Design/methodology/approachIn this work, a comparative analysis of heuristic simulation optimization methods (genertic algorithms, evolutionary strategies, simulated annealing, tabu search and simplex search) is performed. Further, a novel simulation annealing-based heuristic approach is proposed for critical infrastructure.FindingsA small scale network of 50–100 nodes shows that genetic simulation optimization with multi-criteria and multi-dimensional features performs better as compared to other simulation optimization approaches. Further, a minimum of 3.4 percent and maximum of 16.2 percent improvement is observed in faster route identification for small scale Internet-of-things (IoT) networks with simulation optimization constraints integrated model as compared to the traditional method.Originality/valueIn this work, simulation optimization techniques are applied for identifying optimized Quality of service (QoS) parameters for critical infrastructure which in turn helps in improving the network performance. In order to identify optimized parameters, Tabu search and ant-inspired heuristic optimization techniques are applied over QoS parameters. These optimized values are compared with every monitoring sensor point in the network. This comparative analysis helps in identifying underperforming and outperforming monitoring points. Further, QoS of these points can be improved by identifying their local optimum values which in turn increases the performance of overall network. In continuation, a simulation model of bus transport is taken for analysis. Bus transport system is a critical infrastructure for Dehradun. In this work, feasibility of electric recharging units alongside roads under different traffic conditions is checked using simulation. The simulation study is performed over five bus routes in a small scale IoT network.

[Retracted] The Optimization Strategy of College Students’ Ideological and Political Management under the Internet+ Environment

“…Many colleges and universities in China have been playing an important role in cultivating producers and graduates who develop relationships in moral, intellectual, physical, aesthetic, social, and other aspects. erefore, vocational training in colleges and universities must adhere to the correct culture [2]. Colleges and universities have always been an important foundation for growing crops and providing skills for national development and prosperity.…”

The Strategy of How to Deeply Integrate Technology and Finance in the Internet Environment

“…e main way to meet it is to obtain more income [14]. erefore, from the perspective of the capital scale of R&D investment, it should not only make up for the cost of R&D investment but also make the R&D subject have benefits beyond the cost.…”

A smart objects library for BIM-based construction site and emergency management to support mobile VR safety training experiences

“…For this reasons, acknowledging building information modeling (BIM) as the leading methodology and the common technological ground for the digitization of the construction sector through innovative applications in every industry field (Newman et al , 2020), from real-time sensor integration for thermal efficiency (Birgonul, 2021; Kumar et al , 2020) and implementation of advanced technologies and methodologies for project inspection, documentation and management (Elghaish et al , 2020; Getuli et al , 2021; Götz et al , 2020; Mansuri and Patel, 2021) to multi-purpose integration of the advanced visualization technologies (Alizadehsalehi et al , 2020; Getuli and Capone, 2018; Pour Rahimian et al , 2020), comprising construction and safety management (Getuli, 2020; Getuli et al , 2016, 2017; Martínez-Aires et al , 2018), the authors already identified in previous works the opportunity to foster the administration of VR safety training with the integration of BIM and game technology (Getuli et al , 2018, 2019). Moreover, to demonstrate a large-scale feasibility of immersive VR for workers’ safety training, an implementation protocol for planning, management and administration of HS contents with BIM and VR has been proposed and tested on a real case study project (Getuli et al , 2020).…”