QoS Metrics Measurement in Long Range IoT Networks
Low Power Wide Area Networks (LPWAN) is a new solution for the Internet of Things (IoT). This type of networks already has several specific implementations like LoRa, Sigfox, Weightless, RPMA and others. Due to long wireless range, low power consumption and numerous nodes low speed overlay networks can be organized on top of LPWAN. Small pieces of data like text messages, low-quality photographs, etc. can be sent over these overlays and can be of significant importance for emergency services. When organizing an overlay network over LPWAN it is important to meet the Quality of Service (QoS) requirements present in the base network to prevent malfunction of its services. This paper presents the results of experimental study of QoS metrics measurement in LoRaWAN networks.
FRUCT is the largest regional cooperation framework between academia and industry in form of open innovations. FRUCT conferences are attended by the representatives of 25 FRUCT member universities from Russia, Finland, Denmark, Italy, Ukraine, India, industrial experts from Qt community, EMC, EIT ICT Labs, Nokia Siemens Networks and a number of guests from other companies and universities.
This book constitutes the joint refereed proceedings of the 15th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2015, and the 8th Conference on Internet of Things and Smart Spaces, ruSMART 2015, held in St. Petersburg, Russia, in August 2015. The 74 revised full papers were carefully reviewed and selected from numerous submissions. The 15 papers selected for ruSMART are organized in topical sections on IoT infrastructure, IoT platforms, smart spaces and IoT cases, and smart services and solutions. The 59 papers from NEW2AN deal with the following topics: streaming, video, and TCP applications, mobile "ad hoc" networks, security, and clouds, sensor networks and IoT, cellular systems, novel systems and techniques, business and services, signals and circuits, optical and satellite systems, and advanced materials and their properties.
Recovery of the end-of-use products has become a topic of considerable interest in the advanced manufacturing industry due in part to uncertainties in the quality and volume of product returns. The Internet of Things (IoT) that enables the tracing, detecting, storing, and analyzing the product life cycle data for each individual item can mitigate or eliminate these uncertainties. In this paper, an integrated three-stage model is presented based on IoT technology for the optimization of procurement, production and product recovery, pricing and strategy of return acquisition. The remaining value is used to measure the return condition. The model considers three recovery options related to refurbishing, component reuse and disposal, and the value deterioration for satisfying the product demand in each stage of product life cycle (PLC). A novel particle swarm optimization (PSO) algorithm based on two heuristic methods is proposed to solve the problem. A numerical example and sensitivity analysis are used to illustrate the performance of both algorithm and applicability of the model.
The object of this research paper is the way to organize an e-business based on the concept of smart things. In order to achieve the objective of this work - the development of a business model for Social Web of Services - several tasks were set and accomplished: existing concepts of the Internet of Things, the Internet of Service and the Web of Service were described, defined and redefined, making clear the differences and similarities between them. After this, the vision of the Social Web of Service concept is provided and several business models of service providers are reviewed based on the mentioned concept. The business models are presented in graphical view according to the business models representation methodology by Alexander Osterwalder. There is also a presentation of a new business model for a Social Web of Service company. Tis model was developed according to the analysis of existing companies, their strength points and ways of monetization, and main trends in this sphere. Moreover, some limitations of this model along with possible future development areas for it are provided. The offered paper may be considered as a novelty due to the new approach presented in it, identifying the Social Web of Service and the business model developed for companies working according to the for Social Web of Service concept, considering also companies working in areas close to Social Web of Service.
This book constitutes the proceedings of the 9th International Workshop on Enterprise and Organizational Modeling and Simulation, EOMAS 2013, held in conjunction with CAiSE 2013 in Valencia, Spain, in June 2013.
Tools and methods for modeling and simulation are widely used in enterprise engineering, organizational studies, and business process management. In monitoring and evaluating business processes and the interactions of actors in a realistic environment, modeling and simulation have proven to be both powerful, efficient, and economic, especially if complemented by animation and gaming elements.
The ten contributions in this volume were carefully reviewed and selected from 22 submissions. They explore the above topics, address the underlying challenges, find and improve solutions, and show the application of modeling and simulation in the domains of enterprises, their organizations and underlying business processes.
In this article we review a class of Wireless Sensor Networks (WSNs), which are engaged in the reception, transmission and processing of audio data. Unlike audio sensor networks, where the network is used to collect and analyze audio data, in streaming audio sensor networks we have a problem with energy efficiency and quality of services (QoS). The main area of such WSNs is rescue operations. The article is highlighted factors affecting the energy of sensors, discussed approaches to reduce energy consumption and introduced requirements for QoS. A review of studies showed the absence of a common approach to the energy efficiency transmission of audio data, because it is difficult to estimate appropriate methods.
The Handbook of CO₂ in Power Systems' objective is to include the state-of-the-art developments that occurred in power systems taking CO₂ emission into account. The book includes power systems operation modeling with CO₂ emissions considerations, CO₂ market mechanism modeling, CO₂ regulation policy modeling, carbon price forecasting, and carbon capture modeling. For each of the subjects, at least one article authored by a world specialist on the specific domain is included.
The article is based upon the fact that the growing demand for master data management systems has not yet produced a commonly accepted metodology for their design and development/ The article offers two mathematical models? that allow a master data management systems designer a way to formally describe their system before development and verify the system quality by measurements? unique to master data management systems.
This volume presents new results in the study and optimization of information transmission models in telecommunication networks using different approaches, mainly based on theiries of queueing systems and queueing networks .
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.