scholarly journals Social Distancing in Indoor Spaces: An Intelligent Guide Based on the Internet of Things: COVID-19 as a Case Study

Computers ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 91
Author(s):  
Malek Alrashidi
Keyword(s):  
Internet Of Things ◽  
Particle Swarm ◽  
Ant Colony ◽  
Swarm Optimization ◽  
Social Distancing ◽  
Indoor Space ◽  
Iot Devices ◽  
Indoor Spaces ◽  
The Internet Of Things

Using Internet of Things (IoT) solutions is a promising way to ensure that social distancing is respected, especially in common indoor spaces. This paper proposes a system of placement and relocation of people within an indoor space, using an intelligent method based on two optimizers (ant colony and particle swarm) to find the optimal relocation of a set of people equipped with IoT devices to control their locations and movements. As a real-world test, an amphitheater with students was used, and the algorithms guided students toward correct, safe positions. Two evolutionary algorithms are proposed to resolve the studied problem, ant colony optimization and particle swarm optimization. Then, a comparative analysis was performed between these two algorithms and a genetic algorithm, using different evaluation metrics to assess the behavior of the proposed system. The results show the efficiency of the proposed intelligent IoT system.

How the Internet of Things can help knowledge management: a case study from the automotive domain

2017 ◽  
Vol 21 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Lorna Uden ◽  
Wu He
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Internet Of Things ◽  
Current Knowledge ◽  
Time Data ◽  
Content Type ◽  
Useful Knowledge ◽  
Iot Devices ◽  
The Internet Of Things

Purpose Current knowledge management (KM) systems cannot be used effectively for decision-making because of the lack of real-time data. This study aims to discuss how KM can benefit by embedding Internet of Things (IoT). Design/methodology/approach The paper discusses how IoT can help KM to capture data and convert data into knowledge to improve the parking service in transportation using a case study. Findings This case study related to intelligent parking service supported by IoT devices of vehicles shows that KM can play a role in turning the incoming big data collected from IoT devices into useful knowledge more quickly and effectively. Originality/value The literature review shows that there are few papers discussing how KM can benefit by embedding IoT and processing incoming big data collected from IoT devices. The case study developed in this study provides evidence to explain how IoT can help KM to capture big data and convert big data into knowledge to improve the parking service in transportation.

scholarly journals IoT Security Configurability with Security-by-Contract

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4121 ◽  
Author(s):  
Alberto Giaretta ◽  
Nicola Dragoni ◽  
Fabio Massacci
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Holistic Approach ◽  
The Internet ◽  
Iot Security ◽  
Iot Devices ◽  
Work First ◽  
The Internet Of Things

Cybersecurity is one of the biggest challenges in the Internet of Things (IoT) domain, as well as one of its most embarrassing failures. As a matter of fact, nowadays IoT devices still exhibit various shortcomings. For example, they lack secure default configurations and sufficient security configurability. They also lack rich behavioural descriptions, failing to list provided and required services. To answer this problem, we envision a future where IoT devices carry behavioural contracts and Fog nodes store network policies. One requirement is that contract consistency must be easy to prove. Moreover, contracts must be easy to verify against network policies. In this paper, we propose to combine the security-by-contract (S × C) paradigm with Fog computing to secure IoT devices. Following our previous work, first we formally define the pillars of our proposal. Then, by means of a running case study, we show that we can model communication flows and prevent information leaks. Last, we show that our contribution enables a holistic approach to IoT security, and that it can also prevent unexpected chains of events.

scholarly journals LRP Model and Algorithm of Expressway Logistics Network Planning Based on Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zheng Kou ◽  
Man Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Internet Of Things ◽  
Particle Swarm Optimization Algorithm ◽  
Network Planning ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Actual Distribution ◽  
Logistics Network ◽  
Internet Of Things Technology ◽  
The Internet Of Things

With the continuous improvement of the expressway logistics network, the location-routing problems (LRP) have become the obstacle to be overcome in the development of related industries. Based on the needs of modernization, in the era of the Internet of Things, classic traffic path planning algorithms can no longer meet the increasingly diverse needs, and related research results are not ideal. To reduce logistics costs and meet customer needs, this paper studies transportation route planning models and algorithms based on Internet of Things technology and particle swarm optimization. Firstly, the LRP model of expressway logistics network planning analyzes the achievement of goals, lists the assumptions, and builds the LRP model of expressway logistics network planning based on the mathematical model of path planning. Then the model is optimized and solved based on the particle swarm optimization algorithm. In order to verify the effectiveness and feasibility of the algorithm, MATLAB is used to simulate the algorithm. Finally, the LRP particle swarm optimization model of highway logistics network planning is put into the actual distribution work of a logistics company to analyze the change of distribution cost and investigate the related satisfaction. Experimental data show that the improved particle swarm optimization algorithm in this paper begins to converge in the 100th generation, the shortest running time is 57s, and the value of the objective function fluctuates slightly around 880. This shows that the model algorithm in this paper has strong search ability and stability. In the simulation experiment, the optimal objective function value of the model is 1001 yuan, which can be used to formulate the optimal distribution scheme. In the actual distribution work, the total cost of distribution before and after the application of the model was 12176.99 yuan and 9978.4 yuan, the fuel consumption cost decreased by 2097.23 yuan, and the penalty cost decreased by 85%. In the satisfaction survey, the satisfaction of all people was 9 points or above, with an average score of 9.42 points. This shows that the LRP particle swarm optimization model of expressway logistics network planning based on the Internet of Things technology can effectively save distribution costs and improve satisfaction.

scholarly journals Influence of Montoring: Fog and Edge Computing

2019 ◽  
Vol 20 (2) ◽  
pp. 365-376 ◽  
Author(s):  
Vivek Kumar Prasad ◽  
Madhuri D Bhavsar ◽  
Sudeep Tanwar
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
The Internet ◽  
Cloud Platform ◽  
The World ◽  
Iot Devices ◽  
Edge And Fog Computing ◽  
The Impact ◽  
The Internet Of Things

The evolution of the Internet of Things (IoT) has augmented the necessity for Cloud, edge and fog platforms. The chief benefit of cloud-based schemes is they allow data to be collected from numerous services and sites, which is reachable from any place of the world. The organizations will be benefited by merging the cloud platform with the on-site fog networks and edge devices and as result, this will increase the utilization of the IoT devices and end users too. The network traffic will reduce as data will be distributed and this will also improve the operational efficiency. The impact of monitoring in edge and fog computing can play an important role to efficiently utilize the resources available at these layers. This paper discusses various techniques involved for monitoring for edge and fog computing and its advantages. The paper ends with a case study to demonstarte the need of monitoring in fog and edge in the healthcare system.

scholarly journals From design to prototyping in the Internet of Things: A domotics case study

2021 ◽  
Vol 2 (5) ◽  
pp. 29-37
Author(s):  
Sabrina Sicari ◽  
Alessandra Rizzardi ◽  
Alberto Coen-Porisini
Keyword(s):  
Internet Of Things ◽  
Remote Monitoring ◽  
The Internet ◽  
Home Automation ◽  
Indoor Environments ◽  
Adoption And Diffusion ◽  
Iot Devices ◽  
And Diffusion ◽  
The Internet Of Things

Nowadays, the capability of rapidly designing and prototyping, simple, yet real domotics systems (e.g., smart homes and smart buildings applications) is even more compelling, due to the availability and increasing spread of Internet of Things (IoT) devices. Home automation services enable the remote monitoring of indoor environments and facilities. The main advantages include saving energy consumption and improving the overall management (and users' experience) in certain application domains. The pervasive adoption and diffusion of such remote monitoring solutions is hampered by the timing required for design, prototyping and further developing applications and underlying architecture, which must be often customized on the basis of specific domains' needs and involved entities. To cope with this issue, the paper proposes the analysis and prototyping of a domotics case study, in order to demonstrate the effectiveness of proper IoT?related tools in speeding up the testing phase.

scholarly journals An Unconventional Routing Method using Particle Swarm Optimization for the Internet of Things

2020 ◽  
Vol 9 (6) ◽  
pp. 267-271
Keyword(s):  
Particle Swarm Optimization ◽  
Internet Of Things ◽  
Design Principle ◽  
Fault Tolerant ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Novel Approach ◽  
Network Operations ◽  
Prime Objective ◽  
The Internet Of Things

The study introduces novel analytical modeling of a multipath fault-tolerant routing approach where the design principle is formulated based on a bio-inspired optimization modeling of swarm optimization principles. The prime objective of this novel approach is to deal with network failures of Internet-of-Things (IoT) in a faster manner and recover the network operations as early as possible without compromising much energy. This way, the network becomes more reliable and sustainable even if any events occur that make the senor node functionally disabled and even if any types of path failures take place, regardless of energy consumption factors in IoT routing scenarios. However, the approach also capable of handling energy problems during the IoT routing scenario to a significant extent. Further, the outcome of the study shows that the fault-tolerance routing approach based on unconventional particle swarm optimization (FT-PSO) attains better results as compared to the existing baselines.

Agricultural Application of Web of Things Architecture

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 61-63 ◽  
Author(s):  
Akihiro Fujii
Keyword(s):  
Internet Of Things ◽  
Agricultural Sector ◽  
Electronic Device ◽  
Specific Work ◽  
Science And Engineering ◽  
Unique Identifier ◽  
Agricultural Application ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Type Pressure

The Internet of Things (IoT) is a term that describes a system of computing devices, digital machines, objects, animals or people that are interrelated. Each of the interrelated 'things' are given a unique identifier and the ability to transfer data over a network that does not require human-to-human or human-to-computer interaction. Examples of IoT in practice include a human with a heart monitor implant, an animal with a biochip transponder (an electronic device inserted under the skin that gives the animal a unique identification number) and a car that has built-in sensors which can alert the driver about any problems, such as when the type pressure is low. The concept of a network of devices was established as early as 1982, although the term 'Internet of Things' was almost certainly first coined by Kevin Ashton in 1999. Since then, IoT devices have become ubiquitous, certainly in some parts of the world. Although there have been significant developments in the technology associated with IoT, the concept is far from being fully realised. Indeed, the potential for the reach of IoT extends to areas which some would find surprising. Researchers at the Faculty of Science and Engineering, Hosei University in Japan, are exploring using IoT in the agricultural sector, with some specific work on the production of melons. For the advancement of IoT in agriculture, difficult and important issues are implementation of subtle activities into computers procedure. The researchers challenges are going on.

Sign in / Sign up

Export Citation Format

Share Document