scholarly journals Security Evaluation under Different Exchange Strategies Based on Heterogeneous CPS Model in Interdependent Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6123
Author(s):  
Hao Peng ◽  
Can Liu ◽  
Dandan Zhao ◽  
Zhaolong Hu ◽  
Jianmin Han
Keyword(s):  
Sensor Networks ◽  
Smart Grids ◽  
Large Scale ◽  
Research Work ◽  
Security Evaluation ◽  
Cascading Failures ◽  
Medical Systems ◽  
Industrial Internet ◽  
The Impact ◽  
Cps Model

In the real Internet of Everything scenario, many large-scale information systems can be converted into interdependent sensor networks, such as smart grids, smart medical systems, and industrial Internet systems. These complex systems usually have multiple interdependent sensor networks. Small faults or failure behaviors between networks may cause serious cascading failure effects of the entire system. Therefore, in this paper, we will focus on the security of interdependent sensor networks. Firstly, by calculating the size of the largest functional component in the entire network, the impact of random attacks on the security of interdependent sensor networks is analyzed. Secondly, it compares and analyzes the impact of cascading failures between interdependent sensor networks under different switching edge strategies. Finally, the simulation results verify the effect of the security of the system under different strategies, and give a better exchange strategy to enhance the security of the system. In addition, the research work in this article can help design how to further optimize the topology of interdependent sensor networks by reducing the impact of cascading failures.

scholarly journals Simulation-Based Evaluation of the Performance of Broadband over Power Lines with Multiple Repeaters in Linear Topology of Distribution Substations

2020 ◽  
Vol 10 (19) ◽  
pp. 6879
Author(s):  
Petr Musil ◽  
Petr Mlynek ◽  
Jan Slacik ◽  
Jiri Pokorny
Keyword(s):  
Smart Grids ◽  
Large Scale ◽  
Field Measurements ◽  
Lessons Learned ◽  
Power Lines ◽  
Multiple Streams ◽  
Linear Topology ◽  
Performance Improvements ◽  
Multiple Data ◽  
The Impact

Broadband over Power Lines (BPL) is considered a promising communication technology in the concept of Smart Grids. This paper evaluates networks based on BPL, with a focus on the impact of repeaters in the linear topology of distribution substations. In large-scale Smart Grids network planning, positions of repeaters have to be carefully chosen. This article should help to determine such positions and limitations of BPL linear topology networks. Laboratory and on-field measurements and their results are presented in this article. Results show the impact of repeater’s deployment for different testing methodologies also with regard to other already presented studies. Measured values and the determined impacts of repeaters are later used as input data for simulation of the linear BPL topology in terms of network throughput with multiple streams and bottlenecks. These occur especially on lines shared by multiple communicating nodes. Furthermore, the simulation investigates the balancing time of multiple data streams throughput. The simulation shows that the throughput balancing can occupy a significant time slot, up to tens of seconds before the throughput of different streams balances. Also, the more data is generated, the more time the balancing time takes. Additionally, the throughput drop caused by a repeater is determined into the range of 35–60%. Based on the measurement and simulation results, lessons learned are presented, and possible performance improvements are discussed.

scholarly journals Pervasive Smart Spaces and Environments: A Service-Oriented Middleware Architecture for Wireless Ad Hoc and Sensor Networks

2012 ◽  
Vol 8 (4) ◽  
pp. 725190 ◽  
Author(s):  
Miguel S. Familiar ◽  
José F. Martínez ◽  
Lourdes López
Keyword(s):  
Sensor Networks ◽  
Large Scale ◽  
Ad Hoc ◽  
Physical World ◽  
Semantic Knowledge ◽  
Smart Spaces ◽  
Dynamic Composition ◽  
Short Period ◽  
Service Oriented ◽  
The Impact

In the twenty-first century, the impact of wireless and ubiquitous technologies is changing the way people perceive and interact with the physical world. These communication paradigms promise to change and redefine, in a reasonably short period of time, the most common way of our everyday living. The continuous advances in the field of Wireless Sensor Networks and their direct application in Smart Spaces are clear examples of it. However, in order for this kind of new generation infrastructures to have a large-scale dissemination, there are still some open issues to tackle. In this way, this paper presents nSOM, a service-oriented framework based on sensor network design that provides internetworking services with the Internet cloud. This lightweight middleware architecture implements an agent-based virtual sensor service approach which is a compact semantic knowledge management scheme based on a dynamic composition model.

scholarly journals A Case Study on Applicability of Intellectual Property Rights to the Traditional Medical Systems of Asia and Africa

2021 ◽  
pp. 1-11
Author(s):  
Dr. Pradipta Mukhopadhyay
Keyword(s):  
Intellectual Property ◽  
Property Rights ◽  
Intellectual Property Rights ◽  
Research Work ◽  
Developed Countries ◽  
Modern World ◽  
Medical Systems ◽  
Underdeveloped Countries ◽  
The World ◽  
The Impact

Today with an ever increasing population, and the recent Pandemic of COVID-19 still in force throughout the world, agricultural innovation is getting vital in order to increase the productivity and secure the global food supply but agriculture research and development is always a costly affair and while previously it was undertaken mainly by public sector, today the private sector is adopting the work of Research & Development specifically in the area of biotechnology. Thereafter we see that in the modern world in both the developed and developing countries use of herbal medicines, phytonutrients and nutraceuticals are expanding rapidly as many persons are resorting to these products for treatment of various health problems within various national healthcare settings but many of these products have remained untested and their use are also not monitored which has caused problems in acquiring proper knowledge of the adverse effects of these medicines and therapies used, creating safety related issues for the persons who are using them along with causing obstacles in proper promotion of these products and methods throughout the world. Intellectual Property (IP) refers to the creations of mind such as inventions, literary and artistic works, designs, symbols, names and images and these are protected by laws like Patents, Copyrights, trademarks etc, which enable people to earn recognition or financial benefits from what they invent or create. Previously machines were considered for invention or artistic creations and were protected by the Intellectual Property Rights and the assignment of IPRs to living things is relatively a recent phenomenon in the developed countries but today agriculture is seen as an industry that cannot survive without research, development and investments. This situation made it necessary to extend protections of IPRs in all its forms to the agriculture sector also. Then we see that recently not only Ayurveda of India but also other Traditional medical systems of Africa and South America has also started getting recognitions throughout the world as a rationale system of medicine and so it is absolutely necessary to understand the concept, rules, regulations, present status, controlling authorities of Intellectual Property Rights to protect and promote the ideas about these types of treatments and medicines and make them acceptable throughout the world without any constraints for the development of the developing and underdeveloped countries of the Asia, Africa and South American continents . In this paper we will study the impact of Intellectual Property Rights on the traditional medical treatment systems of continents of Asia, Africa and will try to examine how Intellectual Property Rights can be applied to protect and increase the production of medicines developed from medicinal herbs in the developing and underdeveloped countries of Asia and African countries along with a special reference to India. This study has been casual, exploratory and empirical in nature and the data needed for research work has been collected by using both direct and indirect methods of data collection..

scholarly journals Mining Industry of the Republic of Sakha (Yakutia) and Problems of Environmental and Social Security of Indigenous Peoples

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 105
Author(s):  
Evdokia Burtseva ◽  
Anatoliy Sleptsov ◽  
Anna Bysyina ◽  
Alla Fedorova ◽  
Gavril Dyachkovski ◽  
...  
Keyword(s):  
Indigenous Peoples ◽  
Large Scale ◽  
Risk Index ◽  
Research Work ◽  
Mining Industry ◽  
The Arctic ◽  
Arctic Regions ◽  
The Social ◽  
The Republic ◽  
The Impact

The Republic of Sakha (Yakutia; RS(Y)) is located in the northeast of Siberia (Russia) in the basins of the Lena, Yana, and Indigirka rivers, in the lower reaches of the Kolyma River. Yakutia is an industrial–agrarian republic with a developed mining, fuel, and energy industry. Indigenous peoples live mainly in the Arctic regions, where the large-scale development of mineral resources is planned, and South Yakutia, where the mining industry is well developed. The aim of this study is the development of methodological approaches to assessing the impact of the mining industry on the natural environment and the social sphere in the places of residence and traditional economic activities of the indigenous peoples of the North. We used the results of research work (R&D), materials of expeditionary work, and regulatory documents of the Republic of Sakha (Yakutia) and the Russian Federation (RF). The state of the environment (ES) was assessed on the basis of the analysis of indicators for three areas: (a) anthropogenic load, (b) environmental and social consequences, and (c) resistance of natural complexes to technogenic impacts. In total, 22 indicators were used for the 3 areas, for example, population density, person/km2; the volume of extraction of rock mass, million m3; and emissions, t/year. To bring dissimilar indicators into comparable ones, we used a methodological approach with the use of the social risk index (SRI). In Arctic regions (mainly agricultural), the ES is in a favorable and relatively favorable state: SRI 0.61–0.70; in the central regions (mainly agricultural), it is satisfactory and relatively satisfactory: SRI 0.71–1.0; in the southern and western regions with a developed mining industry, it is relatively tense and tense: SRI 1.01–3.0. An extremely tense state of environmental conditions has developed in the city of Yakutsk: SRI ≥ 3. Generally, the deterioration of the environmental situation and vital activity of the indigenous peoples in investigated Arctic region correlated with the impact of the mining industry.

scholarly journals Big Data Collection in Large-Scale Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4474 ◽  
Author(s):  
Asside Djedouboum ◽  
Ado Abba Ari ◽  
Abdelhak Gueroui ◽  
Alidou Mohamadou ◽  
Zibouda Aliouat
Keyword(s):  
Wireless Sensor Networks ◽  
Big Data ◽  
Sensor Networks ◽  
Data Collection ◽  
Network Architecture ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Wireless Sensor ◽  
The Military ◽  
The Impact

Data collection is one of the main operations performed in Wireless Sensor Networks (WSNs). Even if several interesting approaches on data collection have been proposed during the last decade, it remains a research focus in full swing with a number of important challenges. Indeed, the continuous reduction in sensor size and cost, the variety of sensors available on the market, and the tremendous advances in wireless communication technology have potentially broadened the impact of WSNs. The range of application of WSNs now extends from health to the military field through home automation, environmental monitoring and tracking, as well as other areas of human activity. Moreover, the expansion of the Internet of Things (IoT) has resulted in an important amount of heterogeneous data that are produced at an exponential rate. Furthermore, these data are of interest to both industry and in research. This fact makes their collection and analysis imperative for many purposes. In view of the characteristics of these data, we believe that very large-scale and heterogeneous WSNs can be very useful for collecting and processing these Big Data. However, the scaling up of WSNs presents several challenges that are of interest in both network architecture to be proposed, and the design of data-routing protocols. This paper reviews the background and state of the art of Big Data collection in Large-Scale WSNs (LS-WSNs), compares and discusses on challenges of Big Data collection in LS-WSNs, and proposes possible directions for the future.

scholarly journals Wireless Sensor Networks for Big Data Systems

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1565 ◽  
Author(s):  
Beom-Su Kim ◽  
Ki-Il Kim ◽  
Babar Shah ◽  
Francis Chow ◽  
Kyong Kim
Keyword(s):  
Wireless Sensor Networks ◽  
Big Data ◽  
Sensor Networks ◽  
Large Scale ◽  
Research Work ◽  
Sensor Nodes ◽  
Data Sources ◽  
Wireless Sensor ◽  
Data Systems ◽  
Big Data Systems

Before discovering meaningful knowledge from big data systems, it is first necessary to build a data-gathering infrastructure. Among many feasible data sources, wireless sensor networks (WSNs) are rich big data sources: a large amount of data is generated by various sensor nodes in large-scale networks. However, unlike typical wireless networks, WSNs have serious deficiencies in terms of data reliability and communication owing to the limited capabilities of the nodes. Moreover, a considerable amount of sensed data are of no interest, meaningless, and redundant when a large number of sensor nodes is densely deployed. Many studies address the existing problems and propose methods to overcome the limitations when constructing big data systems with WSN. However, a published paper that provides deep insight into this research area remains lacking. To address this gap in the literature, we present a comprehensive survey that investigates state-of-the-art research work on introducing WSN in big data systems. Potential applications and technical challenges of networks and infrastructure are presented and explained in accordance with the research areas and objectives. Finally, open issues are presented to discuss promising directions for further research.

A robust novel approach for dynamic energy management of smart grids in Wireless Sensor Networks

2021 ◽  
Author(s):  
Ramkrishna Ghosh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Smart Grids ◽  
Research Work ◽  
Wireless Sensor ◽  
Electricity Cost ◽  
Novel Approach ◽  
System Output ◽  
Interval Type ◽  
Dynamic Energy Management

Abstract In our research work, we have implemented interval type 2 fuzzy logic model (IT2FL) applied to Smart grids in Wireless Sensor Networks (WSNs). The smart grids equipped with our technique are proficient to mainly react to various metrics like effective electricity cost and heat to continue end user’s thermic relaxation. Moreover the capabilities of WSNs to identify, examine and calculate various variables have been assessed to progress the restrictions of actual power control organizations for instance thermoregulators. We have taken Set-point weight, Time-Weights and Override flag as input to evaluate System output in weights and minutes. Efficacy of the recommended framework is made by means of statistical analysis and multiple linear regressions(MLR)

scholarly journals Analyzing the I/O Performance of Post-Hoc Visualization of Huge Simulation Datasets on the K Computer

2017 ◽  
Author(s):  
Eduardo C. Inacio ◽  
Jorji Nonaka ◽  
Kenji Ono ◽  
Mario A. R. Dantas
Keyword(s):  
Computer Architecture ◽  
High Performance ◽  
Large Scale ◽  
Global Climate ◽  
Research Work ◽  
Climate Simulation ◽  
Challenges And Opportunities ◽  
Visualization Systems ◽  
Post Hoc ◽  
The Impact

As computational science simulations produce ever increasing volumes of data, executing part or even the entire visualization pipeline in the supercomputer side becomes more a requirement than an option. Given the uniqueness of the high performance K computer architecture, the HIVE visualization framework was developed, focusing on meeting visualization and data analysis demands of scientists and engineers. In this paper, we present an analysis on the input/output (I/O) performance of post-hoc visualization. The contribution of this research work is characterized by an analysis of a set of empirical study cases considering huge simulation datasets using HIVE on the K computer. Results from the experimental effort, using a dataset produced by a real-world global climate simulation, provide a differentiated knowledge on the impact of dataset partitioning parameters in the I/O performance of large-scale visualization systems, and highlight challenges and opportunities for performance optimizations.

scholarly journals Charge critical sensors first: Minimize data loss in wireless rechargeable sensor networks

2018 ◽  
Vol 14 (7) ◽  
pp. 155014771878447
Author(s):  
Tong Li ◽  
Tang Liu ◽  
Jian Peng ◽  
Feng Lin ◽  
Wenzheng Xu
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
Large Scale ◽  
Base Station ◽  
The Novel ◽  
Monitoring Task ◽  
Wireless Rechargeable Sensor Networks ◽  
Alternative Routing ◽  
The Impact

In this article, we study the scheduling of a charging vehicle to replenish sensor energy in a large-scale wireless sensor network, by utilizing the novel wireless energy transfer technology. We note that existing studies do not treat different sensors in the network discriminatively and consider only how to charge as many sensors as possible before their energy expirations. However, there are some critical sensors in the network, so that many other sensors have no alternative routing paths to upload their sensing data to the base station if the critical sensors die. Therefore, the energy expiration of a critical sensor will result in that not only the sensor itself cannot continue its monitoring task, but also many other sensors cannot send their data during the dead period of the critical sensor. Then, the monitoring quality of the sensor network will significantly deteriorate due to the energy expirations of the critical sensor. Unlike existing studies, we take into account the impact of energy depletions of critical sensors and investigate a charging scheduling problem for sensor networks, which is to schedule a charging vehicle to replenish a set of to-be-charged sensors, such that not only the amount of lost data by dead sensors is minimized, but also the traveling cost of the vehicle for charging sensors is minimized, too. We then propose a novel algorithm for the problem. We finally compare the proposed algorithm with existing studies and simulation results show that the amount of lost data by the proposed algorithm is only about 50% of those by the existing studies, and the weighted sum of the amount of lost data and the vehicle travel distance is about 70% of those by the existing ones.

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