Disruption Recovery Model for Complex Flow Shop Scheduling With Considering Behavior Under Environment of the Internet of Things

2017 ◽  
Author(s):  
Bo Hong-guang ◽  
Li Huan-zhi ◽  
Zhang Hui-lin ◽  
Guo Yi ◽  
Mu Wei
Keyword(s):  
Internet Of Things ◽  
Consumer Satisfaction ◽  
Flow Shop ◽  
Programming Model ◽  
Search Algorithm ◽  
Flow Shop Scheduling ◽  
The Internet ◽  
Total Weighted Completion Time ◽  
Disruption Recovery ◽  
The Internet Of Things

Disruptions happen in the actual manufacturing system under environment of the Internet of Things and they make the system difficult to manage. However, the convenient access to information of orders, equipment and participants make disruption recovery easier. In this paper we build a disruption recovery scheduling integer programming model considering the objective of minimizing total weighted completion-time (as the original objective) and the objectives of maximizing total consumer satisfaction degree & minimizing total deviation degree (as the revising objective). A PVPS (PSO & VNS Parallel Search) algorithm is proposed. The experiments results prove all above are effective.

scholarly journals Dimensionality Reduction for Internet of Things Using the Cuckoo Search Algorithm: Reduced Implications of Mesh Sensor Technologies

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Azeema Yaseen ◽  
Mohsin Nazir ◽  
Aneeqa Sabah ◽  
Shahzadi Tayyaba ◽  
Zuhaib Ashfaq Khan ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Search Algorithm ◽  
Dimensional Space ◽  
Cuckoo Search ◽  
Object Identification ◽  
High Dimensional ◽  
The Internet ◽  
The Internet Of Things

The internet of things is used as a demonstrative keyword for evolution of the internet and physical realms, by means of pervasive distributed commodities with embedded identification, sensing, and actuation abilities. Imminent intellectual technologies are subsidizing internet of things for information transmission within physical and autonomous digital entities to provide amended services, leading towards a new communication era. Substantial amounts of heterogeneous hardware devices, e.g., radio frequency identification (RFID) tags, sensors, and various network protocols are exploited to support object identification and network communication. Data generated by these digital objects is termed as “Big Data” and incorporates high dimensional space with noisy, irrelevant, and redundant features. Direct execution of mining techniques onto such kind of high dimensionality attribute space can increase cost and complexity. Data analytic mechanisms are embedded into internet of things to permit intelligent decision-making capabilities. These notions have raised new challenges regarding internet of things from a data and algorithm perspective. The proposed study identifies the problem in the internet of things network and proposes a novel cuckoo search-based outdoor data management. The technique of the feature extraction is used for the extraction of expedient information from raw and high-dimensional data. After the implementation for the cuckoo search-based feature extraction, few test benchmarks are introduced to evaluate the performance of mutated cuckoo search algorithms. The consequential low-dimensional data optimizes classification accuracy along with reduced complexity and cost.

scholarly journals Lightweight Coordination Patterns for Applications of the Internet of Things

2020 ◽  
Vol 25 (2) ◽  
pp. 117-123
Author(s):  
Waseem Akhtar Mufti
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Internet Of Things ◽  
Computer Network ◽  
Programming Model ◽  
Data Communication ◽  
The Internet ◽  
Automatic Data ◽  
Distributed Cluster ◽  
The Internet Of Things

AbstractApplications of the Internet of Things (IoT) are famously known for connecting devices via the internet. The main purpose of IoT systems (wireless or wired) is to connect devices together for data collection, buffering and data gateway. The collected large size of data is often captured from remote sources for automatic data analytics or for direct decision making by its users. This paper applies the programming pattern for Big Data in IoT systems that makes use of lightweight Java methods, introduced in the recently published work on ClientNet Distributed Cluster. Considering Big Data in IoT systems means the sensing of data from different resources, the network of IoT devices collaborating in data collection and processing; and the gateways servers where the resulting big data is supposed to be directed or further processed. This mainly involves resolving the issues of Big Data, i.e., the size and the network transfer speed along with many other issues of coordination and concurrency. The computer network that connects IoT may further include techniques such as Fog and Edge computing that resolve much of the network issues. This paper provides solutions to these problems that occur in wireless and wired systems. The talk is about the ClientNet programming model and its application in IoT systems for orchestration, such as coordination, data communication, device identification and synchronization between the gateway servers and devices. These devices include sensors attached with appliances (e.g., home automations, supply chain systems, light and heavy machines, vehicles, power grids etc.) or buildings, bridges and computers running data processing applications. As described in earlier papers, the introduced ClientNet techniques prevent from big data transfers and streaming that occupy more resources (hardware and bandwidth) and time. The idea is motivated by Big Data problems that make it difficult to collect it from different resources through small devices and then redirecting it. The proposed programming model of ClientNet Distributed Cluster stores Big Data on the nearest server coordinated by the nearest coordinator. The gateways and the systems that run analytics programs communicate by running programs from other computers when it is essentially required. This makes it possible to let Big Data rarely move across a communication network and allow only the source code to move around the network. The given programming model greatly simplifies data communication overheads, communication patterns among devices, networks and servers.

scholarly journals Protocols Over Things: A Decentralized Programming Model for the Internet of Things

Computer ◽  
2020 ◽  
Vol 53 (12) ◽  
pp. 60-68
Author(s):  
Samuel H. Christie V ◽  
Daria Smirnova ◽  
Amit K. Chopra ◽  
Munindar P. Singh
Keyword(s):  
Internet Of Things ◽  
Programming Model ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Taking Arduino to the Internet of Things: The ASIP programming model

2016 ◽  
Vol 89-90 ◽  
pp. 128-140 ◽  
Author(s):  
Gianluca Barbon ◽  
Michael Margolis ◽  
Filippo Palumbo ◽  
Franco Raimondi ◽  
Nick Weldin
Keyword(s):  
Internet Of Things ◽  
Programming Model ◽  
The Internet ◽  
The Internet Of Things

Toward an efficient healthcare CloudIoT architecture by using a game theory approach

2019 ◽  
Vol 27 (3) ◽  
pp. 189-200 ◽  
Author(s):  
Douglas Dyllon Jeronimo de Macedo ◽  
Gustavo Medeiros de Araújo ◽  
Moisés Lima Dutra ◽  
Silvana Toriani Dutra ◽  
Álvaro Guillermo Rojas Lezana
Keyword(s):  
Game Theory ◽  
Internet Of Things ◽  
Assisted Living ◽  
Search Algorithm ◽  
Ambient Assisted Living ◽  
Stochastic Search ◽  
The Internet ◽  
Theory Approach ◽  
Healthcare Applications ◽  
The Internet Of Things

The increasing adoption of the Internet of things and cloud computing in recent years provided the increasing development and improvement of various well-known approaches, such as the ambient assisted living approach. The merging of Internet of things and cloud brought about the so-called CloudIoT paradigm. CloudIoT intends to extend both technologies to make possible developing the next generation of smart environments, such as healthcare applications. New healthcare applications demand an increasing capacity of resources for storing, processing, and transmitting data. Looking at this scenario, along with the growing number of devices connected to the Internet of things, we must consider providing mechanisms to mitigate the excessive data offloading on the network, the latency between nodes, and even the unnecessary waste of computing power. In this article, we present an efficient and effective CloudIoT-based healthcare architecture for ambient assisted living environments. The innovation of our approach lies on the use of a game theory approach (by means of a stochastic search algorithm) to improve efficiency and latency of the CloudIoT network. This proposal aims to provide better availability levels to the whole environment. Experiments performed through simulation have shown us a remarkable improvement of network parameters, by applying a stochastic search algorithm called Gur game, when compared to a baseline application.

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

Review of the Current State and Future Development in Standardising Artificial Lighting

2019 ◽  
pp. 4-44 ◽  
Author(s):  
Peter Thorns
Keyword(s):  
Internet Of Things ◽  
Future Development ◽  
Best Practice ◽  
The Internet ◽  
Artificial Lighting ◽  
Current State ◽  
Internal Structures ◽  
European Regulations ◽  
The Internet Of Things

This paper discusses the organisations involved in the development of application standards, European regulations and best practice guides, their scope of work and internal structures. It considers their respective visions for the requirements for future standardisation work and considers in more detail those areas where these overlap, namely human centric or integrative lighting, connectivity and the Internet of Things, inclusivity and sustainability.

Configuration-Making Algorithm for the Smart Machine Controller Based on the Internet of Things Concept

2019 ◽  
Vol 14 (5) ◽  
pp. 375
Author(s):  
Vladimir P. Zhalnin ◽  
Anna S. Zakharova ◽  
Demid A. Uzenkov ◽  
Andrey I. Vlasov ◽  
Alexey I. Krivoshein ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Smart Machine ◽  
The Internet Of Things
Sign in / Sign up

Export Citation Format

Share Document