scholarly journals A Multi-Agent Gamification System for Managing Smart Homes

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1249 ◽  
Author(s):  
Alicja Winnicka ◽  
Karolina Kęsik ◽  
Dawid Połap ◽  
Marcin Woźniak ◽  
Zbigniew Marszałek
Keyword(s):  
Rapid Development ◽  
Mobile Network ◽  
Smart Homes ◽  
Entire Solution ◽  
Additional Advantage ◽  
Fifth Generation ◽  
Multi Agent ◽  
The Individual ◽  
The Internet Of Things

Rapid development and conducted experiments in the field of the introduction the fifth generation of the mobile network standard allow for the flourishing of the Internet of Things. This is one of the most important reasons to design and test systems that can be implemented to increase the quality of our lives. In this paper, we propose a system model for managing tasks in smart homes using multi-agent solutions. The proposed solution organizes work and distributes tasks to individual family members. An additional advantage is the introduction of gamification, not only between household members, but also between families. The solution was tested to simulate the entire solution as well as the individual components that make up the system. The proposal is described with regard to the possibility of implementing smart homes in future projects.

scholarly journals Image-Based Automatic Watermeter Reading under Challenging Environments

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 434
Author(s):  
Qingqi Hong ◽  
Yiwei Ding ◽  
Jinpeng Lin ◽  
Meihong Wang ◽  
Qingyang Wei ◽  
...  
Keyword(s):  
Smart Cities ◽  
Rapid Development ◽  
Mobile Network ◽  
Spatial Layout ◽  
Single Image ◽  
Automatic Instrument ◽  
Intelligent Sensors ◽  
Fifth Generation ◽  
Instrument Reading ◽  
Network Technologies

With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities. We propose a full pipeline to automatically read watermeters based on a single image, using deep learning methods to provide new technical support for an intelligent water meter reading. To handle the various challenging environments where watermeters reside, our pipeline disentangled the task into individual subtasks based on the structures of typical watermeters. These subtasks include component localization, orientation alignment, spatial layout guidance reading, and regression-based pointer reading. The devised algorithms for orientation alignment and spatial layout guidance are tailored to improve the robustness of our neural network. We also collect images of watermeters in real scenes and build a dataset for training and evaluation. Experimental results demonstrate the effectiveness of the proposed method even under challenging environments with varying lighting, occlusions, and different orientations. Thanks to the lightweight algorithms adopted in our pipeline, the system can be easily deployed and fully automated.

scholarly journals IoT and UAV Integration in 5G Hybrid Terrestrial-Satellite Networks

Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3704 ◽  
Author(s):  
Mario Marchese ◽  
Aya Moheddine ◽  
Fabio Patrone
Keyword(s):  
Mobile Communications ◽  
Satellite Networks ◽  
Use Cases ◽  
Fifth Generation ◽  
Smart Agriculture ◽  
Iot Devices ◽  
Terrestrial Network ◽  
Scalable Network ◽  
The Internet Of Things

The Fifth Generation of Mobile Communications (5G) will lead to the growth of use cases demanding higher capacity and a enhanced data rate, a lower latency, and a more flexible and scalable network able to offer better user Quality of Experience (QoE). The Internet of Things (IoT) is one of these use cases. It has been spreading in the recent past few years, and it covers a wider range of possible application scenarios, such as smart city, smart factory, and smart agriculture, among many others. However, the limitations of the terrestrial network hinder the deployment of IoT devices and services. Besides, the existence of a plethora of different solutions (short vs. long range, commercialized vs. standardized, etc.), each of them based on different communication protocols and, in some cases, on different access infrastructures, makes the integration among them and with the upcoming 5G infrastructure more difficult. This paper discusses the huge set of IoT solutions available or still under standardization that will need to be integrated in the 5G framework. UAVs and satellites will be proposed as possible solutions to ease this integration, overcoming the limitations of the terrestrial infrastructure, such as the limited covered areas and the densification of the number of IoT devices per square kilometer.

scholarly journals The Framework of 6G Self-Evolving Networks and the Decision-Making Scheme for Massive IoT

2021 ◽  
Vol 11 (19) ◽  
pp. 9353
Author(s):  
Bei Liu ◽  
Jie Luo ◽  
Xin Su
Keyword(s):  
Decision Making ◽  
Network Resource ◽  
Evolving Networks ◽  
Distributed Decision Making ◽  
Fifth Generation ◽  
Autonomous Decision ◽  
Sixth Generation ◽  
Smart Traffic ◽  
The Internet Of Things

The increasingly huge amount of device connections will transform the Internet of Things (IoT) into the massive IoT. The use cases of massive IoT consist of the smart city, digital agriculture, smart traffic, etc., in which the service requirements are different and even constantly changing. To fulfill the different requirements, the networks must be able to automatically adjust the network configuration, architectures, resource allocations, and other network parameters according to the different scenarios to match the different service requirements in massive IoT, which are beyond the abilities of the fifth generation (5G) networks. Moreover, the sixth generation (6G) networks are expected to have endogenous intelligence, which can well support the massive IoT application scenarios. In this paper, we first propose the framework of the 6G self-evolving networks, in which the autonomous decision-making is one of the vital parts. Then, we introduce the autonomous decision-making methods and analyze the characteristics of the different methods and mechanisms for 6G networks. To prove the effectiveness of the proposed framework, we consider one of the typical scenarios of massive IoT and propose an artificial intelligence (AI)-based distributed decision-making algorithm to solve the problem of the offloading policy and the network resource allocation. Simulation results show that the proposed decision-making algorithm with the self-evolving networks can improve the quality of experience (QoE) compared with the lower training.

scholarly journals Accidental encounters: can accidents be adaptive?

2018 ◽  
Vol 26 (6) ◽  
pp. 285-307
Author(s):  
Giordano BS Ferreira ◽  
Matthias Scheutz
Keyword(s):  
Task Performance ◽  
Time Window ◽  
Fixed Time ◽  
Location Selection ◽  
Agent Based ◽  
Selection Strategies ◽  
Multi Agent ◽  
The Individual ◽  
Partially Observable

Accidents happen in nature, from simple incidents like bumping into obstacles, to erroneously arriving at the wrong location, to mating with an unintended partner. Whether accidents are problematic for an animal depends on their context, frequency, and severity. In this article, we investigate the question of how accidents affect the task performance of agents in an agent-based simulation model for a wide class of tasks called “multi-agent territory exploration” tasks (MATE). In MATE tasks, agents have to visit particular locations of varying quality in partially observable environments within a fixed time window. As such, agents have to balance the quality of the location with how much energy they are willing to expend reaching it. Arriving at the wrong location by accident typically reduces task performance. We model agents based on two location selection strategies that are hypothesized to be widely used in nature: best-of-n and min-threshold. Our results show that the two strategies lead to different accident rates and thus overall different levels of performance based on the degree of competition among agents, as well as the quality, density, visibility, and distribution of target locations in the environment. We also show that in some cases, individual accidents can be advantageous for both the individual and the whole group.

A Large-Scale Device Collaboration Resource Selection Method with Multi-QoS Constraint Supported

2010 ◽  
Vol 143-144 ◽  
pp. 894-898
Author(s):  
Xiao Hui Rong ◽  
Pan Deng ◽  
Feng Chen
Keyword(s):  
Resource Selection ◽  
Large Scale ◽  
Rapid Development ◽  
Prototype System ◽  
Model Composite ◽  
Performance Requirements ◽  
System A ◽  
Relation Model ◽  
The Internet Of Things

With the rapid development of the “Internet of Things” and large-scale area management, device collaboration has developed to the stage of large-scale device collaboration. Aiming at the large-scale, dynamics and real-time of the large-scale device collaboration system, in order to ensure the performance of the large-scale device collaboration system, a Quality of Service(QoS) model of large-scale device collaboration is proposed, which contains device QoS model, composite QoS model and QoS relation model. Based on the model, an algorithm of the resource selection in large-scale device collaboration system is presented. Finally, the result of simulation experiments on the large-scale device collaboration prototype system shows that the method can satisfy the performance requirements of the large-scale device collaboration system.

scholarly journals Special Issue on Energy Harvesters and Self-Powered Sensors for Smart Electronics

Micromachines ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1455
Author(s):  
Qiongfeng Shi ◽  
Huicong Liu
Keyword(s):  
Internet Of Things ◽  
Wireless Network ◽  
Rapid Development ◽  
The Internet ◽  
Special Issue ◽  
Energy Harvesters ◽  
Fifth Generation ◽  
Self Powered ◽  
The Internet Of Things ◽  
Smart Electronics

In recent years, we have witnessed the revolutionary innovation and flourishing advancement of the Internet of things (IoT), which will maintain a strong momentum even more with the gradual rollout of the fifth generation (5G) wireless network and the rapid development of personal healthcare electronics [...]

scholarly journals Utilization Of 5G Networks in Current Scenario

2021 ◽  
Vol 9 (12) ◽  
pp. 1064-1070
Author(s):  
Prince Breja
Keyword(s):  
Communication Network ◽  
Data Transfer ◽  
Rapid Development ◽  
Mobile Network ◽  
Electromagnetic Spectrum ◽  
Network System ◽  
Wireless Communication Network ◽  
Fifth Generation ◽  
Generation Network ◽  
Current Scenario

Abstract: The fifth-generation (5G) mobile network system is the next huge thing in the world of mobile communication. With the rapid development of wireless communication network, It is expected that a fifth-generation network system will provide seamlessly higher data transfer speeds and various capabilities. 5G has evolved in such a way that it can be beneficial for each and every individual who is using it by giving them an ultimate experience. In this article we give a brief overview on working of the electromagnetic spectrum of 5G and its various applications and at the end, the overall opportunities arise in the 5G network system on the basis of their applications. Keywords: 5G Communication, Network, working, speed, Application, Evolution, MIMO,3GPP

scholarly journals Handoff in Various Mobile Network Technologies

2019 ◽  
Vol 7 (2) ◽  
pp. 28-32
Author(s):  
Ekaterina Otsetova-Dudin ◽  
Keyword(s):  
Quality Of Service ◽  
Cellular Networks ◽  
Mobile Network ◽  
Spectrum Utilization ◽  
High Definition ◽  
Mobile Cellular ◽  
Fifth Generation ◽  
Transmission Reliability ◽  
Network Technologies

Mobile cellular networks are an indispensable part of modern life, where the need for customer satisfaction in the use of many different services by consumers is constantly increasing. The requirements for higher transmission speed, lossless transmission, reliability, efficiency, low latency, mass connectivity, guarantee of high Quality of Service criteria are repeatedly increasing. All this requires the continuous development of the used technologies as well as the introduction of new generations of networks. Handover mechanism is extremely important in cellular network because of the cellular architecture employed to maximize spectrum utilization. To ensure the quality of service in wireless cellular networks, the report proposes the use of a Horizontal Handoff Priority Scheme. Simulation experiments have been carried out, the probability parameters of the scheme have been evaluated and the probabilities of losses occurrence have been classified as rare events. The proposed material are various algorithms and techniques for the implementation of Vertical and Horizontal Handoff in 3G, 4G and fifth-generation networks to provide the required QoS for mobile users with Ultra-High Definition.

A Power Control Strategy for IoT Sensors Developed for 5G Networks

2020 ◽  
Vol 1 (1) ◽  
pp. 22-41
Author(s):  
Weston Mwashita ◽  
Marcel Ohanga Odhiambo
Keyword(s):  
Power Control ◽  
Mobile Networks ◽  
Control Mechanism ◽  
Research Work ◽  
Mobile Network ◽  
Base Station ◽  
Open Loop ◽  
5G Networks ◽  
Fifth Generation

This research work presents a power control mechanism developed for ProSe-enabled sensors so that the sensors can be smoothly integrated into the fifth generation (5G) of mobile networks. It is strongly anticipated that 5G networks will provide an enabling environment for the 21st century innovations like the internet of things (IoT). Sensors are pivotal in IoT. The proposed power control mechanism involves an open loop power control (OLPC) mechanism that a ProSe-enabled sensor has to use to establish communication with a base station (BS) and a closed loop power control (CLPC) the BS then has use to establish transmit power levels for devices to be involved in a device to device (D2D) communication depending on the prevailing channel conditions. The results obtained demonstrate that the developed scheme does not adversely affect the quality of service (QoS) of a 5G mobile network.

scholarly journals Monitoring the Health and Residence Conditions of Elderly People, Using LoRa and the Things Network

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1729
Author(s):  
José Paulo Lousado ◽  
Ivan Miguel Pires ◽  
Eftim Zdravevski ◽  
Sandra Antunes
Keyword(s):  
Low Cost ◽  
Rapid Development ◽  
Mobile Network ◽  
The Elderly ◽  
Network Coverage ◽  
Security Forces ◽  
Physical Isolation ◽  
System Prototype

The rapid development and widespread use of information and telecommunication technologies do not mitigate, in many situations, information exclusion, nor the physical isolation of people—mainly that of the elderly living in remote locations, whose mobile network coverage is deficient or non-existent, preventing them from accessing health care, be it routine follow-up procedures or emergencies. Addressing this, we raise the question that guides our study: how can we monitor the elderly’s residence and health conditions, detect falls, and track their movement in the vicinity of their homes in a non-intrusive manner? To answer this question, we present a system prototype that uses affordable, low-cost, and low-energy equipment with media and data processing, supported by LoRa (Long Range) and ESP32 microcontrollers, coupling several sensors. As a result, it is possible to monitor sensors that predict and detect falls or other risk events for the user, e.g., fire, with authorized persons and entities, family members, civil protection, and security forces accessing the gathered data, assuring their security. We conclude that the system could decisively improve people’s quality of life, particularly those of the elderly who live in remote places with greater vulnerability.

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