Technology assessment of IoT wireless network technologies for the telecommunication sector
This paper discusses data interchange formats in the context of heterogeneous networks for the Internet of Things (IoT). The wide dissemination of IoT technologies into various industries, such as agriculture and mining, reveals data transfer issues in geographically remote locations due to absence of any network infrastructure. Several technologies like LoraWAN and NB-IOT offer extended communication ranges, however they still cannot fully solve the problem. In many cases satellite networks are the only available option for transmitting IoT data to a central collection point. Our research of satellite networks showed that as of today the Iridium Short Burst Data (SBD) network is one of the best technologies suited for IoT applications. However, the SBD imposes a significant limit on the size of transmitted messages, which turns data format selection into a vitally important task. We developed a simulation model as well as a heterogeneous Iridium-LoRAWAN prototype to compare different data exchange formats. Our experiments showed more than 4 times increase in the amount of data transferred with Protocol Buffers, compared to the widely used JSON format.
The paper discusses opportunities and challenges in development of the current ecosystem of digital services. Special attention is paid to analysis of the role of Location Based Services (LBS) platforms for service ecosystems in the Internet of Things (IoT) era. We study architectures of LBS-enabled smart systems and analyze factors that could enable faster adoption of new service paradigms by the industry. The paper discusses potential roles of the IoT infrastructure for addressing this problem. One of the supporting questions is the role of mobile operational systems in development of a future ecosystem of the services, which we study by reviewing two approaches implemented in two open source mobile operational systems: Sailfish OS and Tizen OS. One of the starting observations was that the “cold start” problem is one of the top factors that block services from successful development. The problem refers to the case when a new service lacks relevant content. We propose to address this problem by providing developers with a toolkit for accessing relevant content available in various open databases. Development of a method for efficient data importing from open databases and content management is one of the practical results of this study. We implemented the proposed method as an extension to the open source LBS platform Geo2Tag. Now, it is available for free use and illustrates really good performance. Results of our study were tested on the most typical use cases of services for tourists and hospitality industry. The practical results of projects are available for use by business and helped us formulate priorities for further research.
This research provides the strategy of using two modern directions such as Big Data and Internet of Things and their various opportunities. There are the overview and analysis of tools which helps to work in this area: cloud services for data’s storage and its monitoring. The new using option, linking technologies Big Data and Internet of Things, is represented in this work.
The dg.o conference is the flagship conference of the Digital Government Society (DGS), and has positioned itself to be a top-ranking conference in this interdisciplinary academic field. It brings high quality research contributions and plays a major role in the advancement of knowledge in the field of digital government. The continue growing number of scholars and the growing number of members will continue to reinforce the position of DGS as a research and practice platform where researchers and practitioners can meet, exchange ideas, and build new relationships.
The Internet of Things (IoT) has become an important research topic in the last decade, where things refer to interconnected machines and objects with embedded computing capabilities employed to extend the Internet to many application domains. While research and development continue for general IoT devices, there are many application domains where very tiny, concealable, and non-intrusive Things are needed. The properties of recently studied nanomaterials, such as graphene, have inspired the concept of Internet of NanoThings (IoNT), based on the interconnection of nanoscale devices. Despite being an enabler for many applications, the artificial nature of IoNT devices can be detrimental where the deployment of NanoThings could result in unwanted effects on health or pollution. The novel paradigm of the Internet of Bio-Nano Things (IoBNT) is introduced in this paper by stemming from synthetic biology and nanotechnology tools that allow the engineering of biological embedded computing devices. Based on biological cells, and their functionalities in the biochemical domain, Bio-NanoThings promise to enable applications such as intra-body sensing and actuation networks, and environmental control of toxic agents and pollution. The IoBNT stands as a paradigm-shifting concept for communication and network engineering, where novel challenges are faced to develop efficient and safe techniques for the exchange of information, interaction, and networking within the biochemical domain, while enabling an interface to the electrical domain of the Internet.
This book constitutes the refereed proceedings of the 5th International Workshop on Multiple Access Communications, MACOM 2012, held in Maynooth, Ireland, in November 2012. The 13 full papers and 5 demo and poster papers presented were carefully reviewed and selected from various submissions. The papers are organized in topical sections on network coding, handling interference and localization techniques at PHY/MAC layers, wireless access networks, and medium access control.
To optimize performance of applications running over wireless channels, state-of-the-art technologies incorporate a number of channel adaptation mechanisms at different layers of the protocol stack. These mechanisms affect the way communication is performed and their joint effect is often difficult to predict. Recently, to evaluate joint operation of these mechanisms, a number of cross-layer performance models have been proposed. These models abstract functionality of layers providing channel adaptation and characterize performance of information transmission at higher layers, where it is usually standardized. While cross-layer performance models differ in some details, most of them are similar in the way they approach the problem. In this paper we identify similarities between these models, formulate step-by-step cross-layer modeling procedure and discuss its basic components.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.