The talk will give an overview on wireless sensor networks (WSNs), their challenges as well as descriptions of a number of their applications in our daily life. Also, it provides some solutions for some of the current existing challenges, for example: Energy harvesting solutions, data collection and mining. The talk will focuses on the advances development of the WSN domain as a common step towards the Internet of Things and as a service-oriented architecture of the future Internet.
The state-of-play of the general EOSC policy worke-ROSA
Corina Pascu's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)
This document provides information about the process of "calling in" planning applications in Wales. Planning applications are normally decided by local planning authorities, but can be called in by the Welsh Government if they raise issues of national importance. On average, 54 applications are requested to be called in each year, with 12 actually called in. When called in, an inspector appointed by the Welsh Government will hold a hearing or inquiry and make a recommendation to the Welsh Ministers, who make the final decision.
Dynamic Semantics for Semantics for Dynamic IoT EnvironmentsPayamBarnaghi
This document discusses the need for dynamic semantics to handle the complex and changing nature of data in IoT environments. It notes that while semantic models and ontologies exist and are helpful for interoperability, they need to be designed simply and account for the dynamic nature of IoT data. Semantic annotations may change over time and location, and tools are needed to update them automatically. Overall, semantics are an important part of solving interoperability but must be implemented carefully considering the constraints of IoT environments.
Data mining and Fusion Techniques for WSNs as a Source of The Big DataMohamed Mostafa
The wide adoption of the Wireless Senor Networks (WSNs) applications around the world has increased the amount of the sensor
data which contribute to the complexity of Big Data. This has emerged the need to the use of in-network data processing techniques
which are very crucial for the success of the big data framework. This article gives overview and discussion about the state-of-theart of the data mining and data fusion techniques designed for the WSNs. It discusses how these techniques can prepare the sensor
data inside the network (in-network) before any further processing as big data. This is very important for both of the WSNs and
the big data framework. For the WSNs, the in-network pre-processing techniques could lead to saving in their limited resources.
For the big data side, receiving a clean, non-redundant and relevant data would reduce the excessive data volume, thus an overload
reduction will be obtained at the big data processing platforms and the discovery of values from these data will be accelerated.
This document summarizes several existing medical applications that utilize wireless sensor networks. It describes 10 existing medical applications that are reviewed in detail and compared. The document also presents the Interactive Street Sensing project which proposes a small-scale wireless sensor network system to monitor environmental data in urban streets using SunSPOT or SHIMMER sensor nodes. The project aims to provide a basic infrastructure for street monitoring that is scalable to the city level and also adaptable for indoor monitoring in buildings.
The cougar approach to in-network query processing in sensor networksDilini Muthumala
This document presents the Cougar approach to in-network query processing in sensor networks. It introduces the concept of a database abstraction layer that allows users to interact with sensor networks using declarative queries. This abstraction layer optimizes queries for efficient in-network processing to reduce energy consumption. The presentation outlines key components of the architecture like the query proxy layer and query optimizer. It also discusses several open research problems in building such a system, including aggregation, query languages, optimization, catalog management, and multi-query optimization.
The state-of-play of the general EOSC policy worke-ROSA
Corina Pascu's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)
This document provides information about the process of "calling in" planning applications in Wales. Planning applications are normally decided by local planning authorities, but can be called in by the Welsh Government if they raise issues of national importance. On average, 54 applications are requested to be called in each year, with 12 actually called in. When called in, an inspector appointed by the Welsh Government will hold a hearing or inquiry and make a recommendation to the Welsh Ministers, who make the final decision.
Dynamic Semantics for Semantics for Dynamic IoT EnvironmentsPayamBarnaghi
This document discusses the need for dynamic semantics to handle the complex and changing nature of data in IoT environments. It notes that while semantic models and ontologies exist and are helpful for interoperability, they need to be designed simply and account for the dynamic nature of IoT data. Semantic annotations may change over time and location, and tools are needed to update them automatically. Overall, semantics are an important part of solving interoperability but must be implemented carefully considering the constraints of IoT environments.
Data mining and Fusion Techniques for WSNs as a Source of The Big DataMohamed Mostafa
The wide adoption of the Wireless Senor Networks (WSNs) applications around the world has increased the amount of the sensor
data which contribute to the complexity of Big Data. This has emerged the need to the use of in-network data processing techniques
which are very crucial for the success of the big data framework. This article gives overview and discussion about the state-of-theart of the data mining and data fusion techniques designed for the WSNs. It discusses how these techniques can prepare the sensor
data inside the network (in-network) before any further processing as big data. This is very important for both of the WSNs and
the big data framework. For the WSNs, the in-network pre-processing techniques could lead to saving in their limited resources.
For the big data side, receiving a clean, non-redundant and relevant data would reduce the excessive data volume, thus an overload
reduction will be obtained at the big data processing platforms and the discovery of values from these data will be accelerated.
This document summarizes several existing medical applications that utilize wireless sensor networks. It describes 10 existing medical applications that are reviewed in detail and compared. The document also presents the Interactive Street Sensing project which proposes a small-scale wireless sensor network system to monitor environmental data in urban streets using SunSPOT or SHIMMER sensor nodes. The project aims to provide a basic infrastructure for street monitoring that is scalable to the city level and also adaptable for indoor monitoring in buildings.
The cougar approach to in-network query processing in sensor networksDilini Muthumala
This document presents the Cougar approach to in-network query processing in sensor networks. It introduces the concept of a database abstraction layer that allows users to interact with sensor networks using declarative queries. This abstraction layer optimizes queries for efficient in-network processing to reduce energy consumption. The presentation outlines key components of the architecture like the query proxy layer and query optimizer. It also discusses several open research problems in building such a system, including aggregation, query languages, optimization, catalog management, and multi-query optimization.
Wireless sensor networks consist of distributed sensors that monitor conditions like temperature and sound and transmit data to a central location. They have two types - structured networks which are pre-planned and unstructured which are randomly deployed. The document reviews issues in wireless sensor networks like energy constraints and quality of service. It also discusses network services, internal sensor systems, applications, and communication protocols. Open research areas are identified in localization, coverage, security, cross-layer optimization and mobility support to improve energy efficiency and performance.
Smart Dust --- Hardware for Wireless Sensor NetworksMartin Jansen
I gave this talk as part of a seminar on Massively Distributed Systems at the Distributed Systems Group, Chair of Computer Science IV of RWTH Aachen University.
This Presentation provides some basics of Sensors Technology.........
It gives few ideas to learn about sensors which are as normally used as electrical & electronics applications.......
The document discusses the Internet of Things (IoT) and some of the key challenges. It notes that IoT data is multi-modal, distributed, heterogeneous, noisy and incomplete. It raises issues around data management, actuation and feedback, service descriptions, real-time analysis, and privacy and security. The document outlines research challenges around transforming raw data to actionable information, machine learning for large datasets, making data accessible and discoverable, and energy efficient data collection and communication. It emphasizes that IoT data integration requires solutions across physical, cyber and social domains.
This document summarizes a seminar presentation on wireless sensor networks (WSNs). It begins with introductions to WSNs, describing them as networks of spatially distributed sensors that monitor conditions like temperature, sound or pollution. It then covers the architecture of WSNs, including special addressing requirements, the architecture of sensor nodes, and differences between WSNs and mobile ad hoc networks. The document discusses applications, design challenges, advantages and disadvantages of WSNs. It concludes by discussing the future potential of WSNs in applications like smart homes and offices.
This document describes Sandeep Sharma's M Engg project on evaluating, implementing, and comparing energy dissipation of routing protocols for wireless sensor networks. The project implements two existing routing protocols, SPIN and CTP, on wireless sensor motes and measures their energy consumption during routing. It also validates an existing energy estimation model called PPECEM by simulating it and substituting empirical energy measurements. The project proposes improvements to PPECEM including a new model called ERAECEM that considers efficiency, reliability, and availability. A new energy-aware routing algorithm called ERAQP is also suggested based on the new energy estimation model. Finally, the project proposes a configurable routing approach to develop future routing algorithms for
WSN security faces many challenges due to limited sensor resources and operating in hostile environments. It requires high security levels to protect sensitive data while maintaining energy efficiency. However, current research has not fully addressed the conflict between security and limited resources. WSNs are vulnerable to various attacks like jamming, eavesdropping, and false routing. Providing security introduces additional processing and power demands on sensors. Many open research problems remain in developing scalable and dynamic security solutions for wireless sensor networks.
Wireless sensor network and its applicationRoma Vyas
The document discusses wireless sensor networks (WSN) and their applications. It defines a WSN as a collection of sensor nodes that communicate wirelessly and self-organize after deployment. Sensor nodes collect data at regular intervals, convert it to electrical signals, and send it to a base station. The document outlines the components of sensor nodes and describes how WSNs are used for applications like forest fire detection, air/water pollution monitoring, landslide detection, and military surveillance. It also discusses the TinyOS operating system commonly used for WSNs and its features for efficiently utilizing energy in sensor nodes.
This document discusses the implementation of a wireless sensor network in railways. It begins by describing wireless sensor networks and their components. It then discusses how wireless sensor networks were originally developed for military applications but are now used widely in industrial and civilian sectors. The document outlines some key features and applications of sensor nodes. It describes the need for wireless sensor networks in railways to improve safety. Specifically, it discusses implementing gate control, avoiding collisions between trains, identifying faulty tracks, and regularizing rail traffic. Diagrams provide examples of how sensors could be used for speed indication, signaling, tripping the high tension during abnormal conditions, and detecting track failures.
The document discusses ad hoc networks and wireless sensor networks. It defines an ad hoc network as a temporary network composed of mobile nodes without preexisting infrastructure that is self-organizing. Wireless sensor networks are introduced as a collection of sensor nodes densely deployed to monitor conditions and cooperatively pass data back to central nodes. The document outlines key characteristics of both networks including their temporary and adaptive nature, multi-hop routing, and challenges of mobility, power constraints, and dynamic topology changes.
The document discusses the Internet of Things (IoT), which allows machines to communicate with each other through sensors and connectivity to share data and take actions. It describes IoT as a network of physical objects that can interact using technologies like RFID, sensors, wireless communication, energy harvesting, and cloud computing. The document outlines the architecture of IoT including sensor, gateway/network, management service, and application layers. It discusses current and future applications of IoT in areas like smart cities, healthcare, agriculture, and transportation. Major challenges of IoT include big data explosion, security/privacy, and power efficiency. The future of IoT is presented as increasingly connected smart homes, grids, cities, and factories.
EDEEC and LEACH are clustering protocols for wireless sensor networks. EDEEC is for heterogeneous networks where nodes have different energy levels, while LEACH is for homogeneous networks. The document compares the performance of EDEEC and LEACH in terms of network lifetime, energy consumption, and total data transmission. Simulation results show that EDEEC outperforms LEACH by prolonging network lifetime, reducing energy consumption rate over time, and increasing total data transmitted to the base station.
The document discusses Radio Frequency Identification (RFID) technology, including its evolution, components like tags and readers, applications, and concerns. It describes how RFID uses tags with electronic product codes to identify items without line-of-sight scanning. Applications mentioned include supply chain management, electronic passports, transportation payments, and tracking of items, animals, and people. Potential problems discussed are lack of standardization, security/privacy issues if tags can be read without knowledge.
This document provides an overview of wireless sensor networks. It discusses wireless communication technologies, the need for wireless communication, and defines wireless sensor networks. It describes the characteristics, architecture, operating systems, applications, and technical challenges of wireless sensor networks. Finally, it discusses some companies that manufacture wireless sensor network products, including Cisco, IBM, and Libelium.
This PowerPoint presentation provides an overview of radio frequency identification (RFID) technology. It discusses how RFID works, the benefits of RFID, and some concerns around implementing RFID technology. The presentation concludes that while RFID is being adopted in many industries and locations, concerns around privacy and security still need to be addressed for successful widespread implementation. However, RFID has the potential to significantly improve efficiency and change how we manage things in both our personal and work lives.
Internet of Things (IoT) - We Are at the Tip of An IcebergDr. Mazlan Abbas
You are likely benefitting from The Internet of Things (IoT) today, whether or not you’re familiar with the term. If your phone automatically connects to your car radio, or if you have a smartwatch counting your steps, congratulations! You have adopted one small piece of a very large IoT pie, even if you haven't adopted the name yet.
IoT may sound like a business buzzword, but in reality, it’s a real technological revolution that will impact everything we do. It's the next IT Tsunami of new possibility that is destined to change the face of technology, as we know it. IoT is the interconnectivity between things using wireless communication technology (each with their own unique identifiers) to connect objects, locations, animals, or people to the Internet, thus allowing for the direct transmission of and seamless sharing of data.
IoT represents a massive wave of technical innovation. Highly valuable companies will be built and new ecosystems will emerge from bridging the offline world with the online into one gigantic new network. Our limited understanding of the possibilities hinders our ability to see future applications for any new technology. Mainstream adoption of desktop computers and the Internet didn’t take hold until they became affordable and usable. When that occurred, fantastic and creative new innovation ensued. We are on the cusp of that tipping point with the Internet of Things.
IoT matters because it will create new industries, new companies, new jobs, and new economic growth. It will transform existing segments of our economy: retail, farming, industrial, logistics, cities, and the environment. It will turn your smartphone into the command center for the both digital and physical objects in your life. You will live and work smarter, not harder – and what we are seeing now is only the tip of the iceberg.
This document discusses wireless sensor networks. It outlines their applications such as environmental monitoring, health care, and military uses. It also examines factors that influence sensor network design like fault tolerance, scalability, production costs, and power consumption. The communication architecture of sensor networks is presented, including the application, transport, network, data link, and physical layers. Sensor networks have the potential to be widely used in many applications due to their flexibility and fault tolerance.
The document discusses wireless sensor networks and describes their key characteristics. It notes that wireless sensor networks consist of low-power smart sensor nodes distributed over a large field to enable wireless sensing and data networking. The sensor nodes contain sensors, processors, memory, and radios. Wireless sensor networks can be either unstructured with dense node distribution or structured with few scattered nodes.
A Pairwise Key Security Scheme Suits Topology Control Protocols, 2nd afro e...Mohamed Mostafa
This document discusses security challenges in wireless sensor networks and proposes two pairwise key distribution schemes called FPK and SOPK that aim to improve network lifetime. The FPK scheme assigns keys differently based on node energy levels, giving high energy nodes more keys. The SOPK scheme adds an opportunity level where low energy nodes can obtain additional keys from high energy nodes. Simulation results show the proposed schemes extend network lifetime over the basic scheme by up to 24% while increasing topology maintenance and sensed data collection. Both schemes achieve this using a smaller percentage of active nodes compared to the basic scheme.
Presentation from the ECDC expert consultation on Whole Genome Sequencing organised by the European Centre of Disease Prevention and Control - Stockholm, 19 November 2015
PrepData4Mobilty Inventory of mobility and logistics data ecosystems Sebastia...FIWARE
Europe is on its way to generate and make use of more data than ever. The project PrepDSpace4Mobility aims at contributing to the development of the common European mobility data space by supporting the creation of a technical infrastructure that will facilitate easy, cross-border access to key data for both passengers and freight. Given the enormous potential of data and digital technologies, the project is expected to have a positive impact on European competitiveness, society, and the environment.
We invited experts in the field of mobility, transport and data space technology to join PrepDSpace4Mobility expert workshop #1 to learn more about the preliminary results of the project and give early feedback in order to sharpen the focus as needed and requested from the real market.
Project PrepDSpace4Mobility is Funded by the European Union and coordinated by acatech (Germany), activities are carried out by Amadeus SAS (France), EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology, a body of the European Union, (Spain), FIWARE (Germany), FhG (Germany), IDSA (Germany), iSHARE (Netherlands), TNO (Netherlands), USI (Germany), VTT (Finland), EMTA (France), Group ADP (France), KU Leuven (Belgium), ERTICO (Belgium), BAST (Germany), UIH (Hungary), and MDS (Germany).
Topology control protocols for WSNs challenges and research opportunities, 14...Mohamed Mostafa
This document discusses topology control protocols for wireless sensor networks (WSNs). It begins with an overview of WSNs and their design challenges, such as resource constraints and heterogeneity. It then explains the basic idea of topology control, which constructs and maintains an energy-efficient network topology through iterative power adjustment. Key phases of topology control protocols are described, including topology construction, maintenance, and specific algorithms like A3. Motivations for topology control include energy conservation and collision avoidance. Remaining challenges are identified, such as finding minimum connected node sets and defining optimal thresholds for maintenance.
Wireless sensor networks consist of distributed sensors that monitor conditions like temperature and sound and transmit data to a central location. They have two types - structured networks which are pre-planned and unstructured which are randomly deployed. The document reviews issues in wireless sensor networks like energy constraints and quality of service. It also discusses network services, internal sensor systems, applications, and communication protocols. Open research areas are identified in localization, coverage, security, cross-layer optimization and mobility support to improve energy efficiency and performance.
Smart Dust --- Hardware for Wireless Sensor NetworksMartin Jansen
I gave this talk as part of a seminar on Massively Distributed Systems at the Distributed Systems Group, Chair of Computer Science IV of RWTH Aachen University.
This Presentation provides some basics of Sensors Technology.........
It gives few ideas to learn about sensors which are as normally used as electrical & electronics applications.......
The document discusses the Internet of Things (IoT) and some of the key challenges. It notes that IoT data is multi-modal, distributed, heterogeneous, noisy and incomplete. It raises issues around data management, actuation and feedback, service descriptions, real-time analysis, and privacy and security. The document outlines research challenges around transforming raw data to actionable information, machine learning for large datasets, making data accessible and discoverable, and energy efficient data collection and communication. It emphasizes that IoT data integration requires solutions across physical, cyber and social domains.
This document summarizes a seminar presentation on wireless sensor networks (WSNs). It begins with introductions to WSNs, describing them as networks of spatially distributed sensors that monitor conditions like temperature, sound or pollution. It then covers the architecture of WSNs, including special addressing requirements, the architecture of sensor nodes, and differences between WSNs and mobile ad hoc networks. The document discusses applications, design challenges, advantages and disadvantages of WSNs. It concludes by discussing the future potential of WSNs in applications like smart homes and offices.
This document describes Sandeep Sharma's M Engg project on evaluating, implementing, and comparing energy dissipation of routing protocols for wireless sensor networks. The project implements two existing routing protocols, SPIN and CTP, on wireless sensor motes and measures their energy consumption during routing. It also validates an existing energy estimation model called PPECEM by simulating it and substituting empirical energy measurements. The project proposes improvements to PPECEM including a new model called ERAECEM that considers efficiency, reliability, and availability. A new energy-aware routing algorithm called ERAQP is also suggested based on the new energy estimation model. Finally, the project proposes a configurable routing approach to develop future routing algorithms for
WSN security faces many challenges due to limited sensor resources and operating in hostile environments. It requires high security levels to protect sensitive data while maintaining energy efficiency. However, current research has not fully addressed the conflict between security and limited resources. WSNs are vulnerable to various attacks like jamming, eavesdropping, and false routing. Providing security introduces additional processing and power demands on sensors. Many open research problems remain in developing scalable and dynamic security solutions for wireless sensor networks.
Wireless sensor network and its applicationRoma Vyas
The document discusses wireless sensor networks (WSN) and their applications. It defines a WSN as a collection of sensor nodes that communicate wirelessly and self-organize after deployment. Sensor nodes collect data at regular intervals, convert it to electrical signals, and send it to a base station. The document outlines the components of sensor nodes and describes how WSNs are used for applications like forest fire detection, air/water pollution monitoring, landslide detection, and military surveillance. It also discusses the TinyOS operating system commonly used for WSNs and its features for efficiently utilizing energy in sensor nodes.
This document discusses the implementation of a wireless sensor network in railways. It begins by describing wireless sensor networks and their components. It then discusses how wireless sensor networks were originally developed for military applications but are now used widely in industrial and civilian sectors. The document outlines some key features and applications of sensor nodes. It describes the need for wireless sensor networks in railways to improve safety. Specifically, it discusses implementing gate control, avoiding collisions between trains, identifying faulty tracks, and regularizing rail traffic. Diagrams provide examples of how sensors could be used for speed indication, signaling, tripping the high tension during abnormal conditions, and detecting track failures.
The document discusses ad hoc networks and wireless sensor networks. It defines an ad hoc network as a temporary network composed of mobile nodes without preexisting infrastructure that is self-organizing. Wireless sensor networks are introduced as a collection of sensor nodes densely deployed to monitor conditions and cooperatively pass data back to central nodes. The document outlines key characteristics of both networks including their temporary and adaptive nature, multi-hop routing, and challenges of mobility, power constraints, and dynamic topology changes.
The document discusses the Internet of Things (IoT), which allows machines to communicate with each other through sensors and connectivity to share data and take actions. It describes IoT as a network of physical objects that can interact using technologies like RFID, sensors, wireless communication, energy harvesting, and cloud computing. The document outlines the architecture of IoT including sensor, gateway/network, management service, and application layers. It discusses current and future applications of IoT in areas like smart cities, healthcare, agriculture, and transportation. Major challenges of IoT include big data explosion, security/privacy, and power efficiency. The future of IoT is presented as increasingly connected smart homes, grids, cities, and factories.
EDEEC and LEACH are clustering protocols for wireless sensor networks. EDEEC is for heterogeneous networks where nodes have different energy levels, while LEACH is for homogeneous networks. The document compares the performance of EDEEC and LEACH in terms of network lifetime, energy consumption, and total data transmission. Simulation results show that EDEEC outperforms LEACH by prolonging network lifetime, reducing energy consumption rate over time, and increasing total data transmitted to the base station.
The document discusses Radio Frequency Identification (RFID) technology, including its evolution, components like tags and readers, applications, and concerns. It describes how RFID uses tags with electronic product codes to identify items without line-of-sight scanning. Applications mentioned include supply chain management, electronic passports, transportation payments, and tracking of items, animals, and people. Potential problems discussed are lack of standardization, security/privacy issues if tags can be read without knowledge.
This document provides an overview of wireless sensor networks. It discusses wireless communication technologies, the need for wireless communication, and defines wireless sensor networks. It describes the characteristics, architecture, operating systems, applications, and technical challenges of wireless sensor networks. Finally, it discusses some companies that manufacture wireless sensor network products, including Cisco, IBM, and Libelium.
This PowerPoint presentation provides an overview of radio frequency identification (RFID) technology. It discusses how RFID works, the benefits of RFID, and some concerns around implementing RFID technology. The presentation concludes that while RFID is being adopted in many industries and locations, concerns around privacy and security still need to be addressed for successful widespread implementation. However, RFID has the potential to significantly improve efficiency and change how we manage things in both our personal and work lives.
Internet of Things (IoT) - We Are at the Tip of An IcebergDr. Mazlan Abbas
You are likely benefitting from The Internet of Things (IoT) today, whether or not you’re familiar with the term. If your phone automatically connects to your car radio, or if you have a smartwatch counting your steps, congratulations! You have adopted one small piece of a very large IoT pie, even if you haven't adopted the name yet.
IoT may sound like a business buzzword, but in reality, it’s a real technological revolution that will impact everything we do. It's the next IT Tsunami of new possibility that is destined to change the face of technology, as we know it. IoT is the interconnectivity between things using wireless communication technology (each with their own unique identifiers) to connect objects, locations, animals, or people to the Internet, thus allowing for the direct transmission of and seamless sharing of data.
IoT represents a massive wave of technical innovation. Highly valuable companies will be built and new ecosystems will emerge from bridging the offline world with the online into one gigantic new network. Our limited understanding of the possibilities hinders our ability to see future applications for any new technology. Mainstream adoption of desktop computers and the Internet didn’t take hold until they became affordable and usable. When that occurred, fantastic and creative new innovation ensued. We are on the cusp of that tipping point with the Internet of Things.
IoT matters because it will create new industries, new companies, new jobs, and new economic growth. It will transform existing segments of our economy: retail, farming, industrial, logistics, cities, and the environment. It will turn your smartphone into the command center for the both digital and physical objects in your life. You will live and work smarter, not harder – and what we are seeing now is only the tip of the iceberg.
This document discusses wireless sensor networks. It outlines their applications such as environmental monitoring, health care, and military uses. It also examines factors that influence sensor network design like fault tolerance, scalability, production costs, and power consumption. The communication architecture of sensor networks is presented, including the application, transport, network, data link, and physical layers. Sensor networks have the potential to be widely used in many applications due to their flexibility and fault tolerance.
The document discusses wireless sensor networks and describes their key characteristics. It notes that wireless sensor networks consist of low-power smart sensor nodes distributed over a large field to enable wireless sensing and data networking. The sensor nodes contain sensors, processors, memory, and radios. Wireless sensor networks can be either unstructured with dense node distribution or structured with few scattered nodes.
A Pairwise Key Security Scheme Suits Topology Control Protocols, 2nd afro e...Mohamed Mostafa
This document discusses security challenges in wireless sensor networks and proposes two pairwise key distribution schemes called FPK and SOPK that aim to improve network lifetime. The FPK scheme assigns keys differently based on node energy levels, giving high energy nodes more keys. The SOPK scheme adds an opportunity level where low energy nodes can obtain additional keys from high energy nodes. Simulation results show the proposed schemes extend network lifetime over the basic scheme by up to 24% while increasing topology maintenance and sensed data collection. Both schemes achieve this using a smaller percentage of active nodes compared to the basic scheme.
Presentation from the ECDC expert consultation on Whole Genome Sequencing organised by the European Centre of Disease Prevention and Control - Stockholm, 19 November 2015
PrepData4Mobilty Inventory of mobility and logistics data ecosystems Sebastia...FIWARE
Europe is on its way to generate and make use of more data than ever. The project PrepDSpace4Mobility aims at contributing to the development of the common European mobility data space by supporting the creation of a technical infrastructure that will facilitate easy, cross-border access to key data for both passengers and freight. Given the enormous potential of data and digital technologies, the project is expected to have a positive impact on European competitiveness, society, and the environment.
We invited experts in the field of mobility, transport and data space technology to join PrepDSpace4Mobility expert workshop #1 to learn more about the preliminary results of the project and give early feedback in order to sharpen the focus as needed and requested from the real market.
Project PrepDSpace4Mobility is Funded by the European Union and coordinated by acatech (Germany), activities are carried out by Amadeus SAS (France), EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology, a body of the European Union, (Spain), FIWARE (Germany), FhG (Germany), IDSA (Germany), iSHARE (Netherlands), TNO (Netherlands), USI (Germany), VTT (Finland), EMTA (France), Group ADP (France), KU Leuven (Belgium), ERTICO (Belgium), BAST (Germany), UIH (Hungary), and MDS (Germany).
Topology control protocols for WSNs challenges and research opportunities, 14...Mohamed Mostafa
This document discusses topology control protocols for wireless sensor networks (WSNs). It begins with an overview of WSNs and their design challenges, such as resource constraints and heterogeneity. It then explains the basic idea of topology control, which constructs and maintains an energy-efficient network topology through iterative power adjustment. Key phases of topology control protocols are described, including topology construction, maintenance, and specific algorithms like A3. Motivations for topology control include energy conservation and collision avoidance. Remaining challenges are identified, such as finding minimum connected node sets and defining optimal thresholds for maintenance.
Europe is on its way to generate and make use of more data than ever. The project PrepDSpace4Mobility aims at contributing to the development of the common European mobility data space by supporting the creation of a technical infrastructure that will facilitate easy, cross-border access to key data for both passengers and freight. Given the enormous potential of data and digital technologies, the project is expected to have a positive impact on European competitiveness, society, and the environment.
Workshop gathered suppliers and users of data, relevant research institutes, associations, initiatives, politics, as well as technology and service providers in data spaces to ensure appropriate representation.
We had successful workshop, and greatly appreciate your practical field expertise and interactive contributions.
Check our Website and follow us on Linkedin.
Project PrepDSpace4Mobility is Funded by the European Union and coordinated by acatech (Germany), activities are carried out by Amadeus SAS (France), EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology, a body of the European Union, (Spain), FIWARE (Germany), FhG (Germany), IDSA (Germany), iSHARE (Netherlands), TNO (Netherlands), USI (Germany), VTT (Finland), EMTA (France), Group ADP (France), KU Leuven (Belgium), ERTICO (Belgium), BAST (Germany), UIH (Hungary), and MDS (Germany).
This document summarizes smart city research and development activities in Vienna, Austria. It discusses Vienna's ranking as a smart city and its long-term goals in areas like reducing greenhouse gas emissions, innovation leadership, and quality of life. It then provides examples of smart city R&D at universities and research institutions in Vienna, including projects focused on sustainable mobility and transport systems, intelligent buildings, efficient energy systems, health and the environment, information and communication technologies, and industrial R&D partnerships between businesses and public institutions.
Health and Wellbeing Living Lab Symposium PresentationsVITALISEProject
The Health and Wellbeing Living Lab Symposium is dedicated to showcasing the outcomes of the VITALISE project, which focuses on harmonizing Living Lab services and procedures while recognizing Living Labs as integral Research Infrastructures. Over the past three years, a collaborative effort among Living Labs in Health has actively demonstrated the significance of Living Labs as Research Infrastructures, effectively representing the global Living Lab community. The work undertaken in VITALISE aligns with the overarching vision of Living Labs developed over the last 15 years, manifesting in project results that advance the recognition and quality of harmonized Living Labs.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101007990 The symposium's primary objective is to engage in collective reflection with the European Commission and relevant stakeholders and beneficiaries of Research Infrastructures. The aim is to discuss and plan the next steps toward a new era where Research Infrastructures are open and actively involve communities as powerful tools for co-research.
The document discusses how technology can help innovate tourism and cultural heritage by listening to user needs through various online sources of information. It proposes setting up a "Listening Platform" to collect and analyze data from informal online sources like blogs, forums, and social networks on a regular basis to obtain useful feedback for improving or developing new services. An example is given of analyzing online conversations and bookings related to an exhibition of the Holy Shroud in Turin to identify topics of interest and timing of discussions to better promote cultural events.
MOBILITY innovation programme - Presentation leaflet - CRP Henri TudorCRP Henri Tudor
The MOBILITY innovation programme focuses on information and communication technologies (ICTs)
for sustainable mobility, as well as clean technologies specific to this sector. It is aimed at national and
international players within the field of mobility, whether public or private, and benefits the Centre's
international scientific research and innovation networks.
The European Commission supports open access in three main ways: as a policy maker, by launching policy debates and proposing EU legislation; as a funding agency, by implementing open access policies for research funded by EU programs; and as an infrastructure builder, by funding open access infrastructures and networking activities. The Commission aims to make open access to publications from publicly funded research the general principle and is exploring how to effectively mandate and implement open access to scientific data and publications. Stakeholders across Europe need to work together to help make scientific information openly available.
EUDAT 3rd Conference: Bringing Data e-Infrastructures to Horizon2020 - Carl-C...EUDAT
| www.eudat.eu | EUDAT 3rd Conference Opening Session: Bringing Data e-Infrastructures to Horizon2020 - Carl-Christian Buhr, Member of the Cabinet of Ms Neelie Kroes, Vice‐President for Digital Agenda, European Commission - Wednesday 24th September 2014, Amsterdam, the Netherlands
[DSC Europe 22] BI Toolkit Powered Natural Language Processing - Sanda Martin...DataScienceConferenc1
A business intelligence (BI) toolkit is based on natural language processing (NLP) methods for the domain of arts and culture. The main NLP methods in the underlying pipeline are keyword extraction, multi-label text classification, and identification of potential social impacts of cultural policies and practices, all trained on texts from open-access academic publications. The toolkit is a geo-referenced visualization tool for analyzing impact on
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Similar to Surfing from the WSNs to the IoT, 27nov2014 (20)
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Surfing from the WSNs to the IoT, 27nov2014
1. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
NEW CREATIVE TEAMS IN PRIORITIES OF
SCIENTIFIC RESEARCH
CZ.1.07/2.3.00/30.0055
2. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
Surfing form the
Wireless Sensor Networks
to the
Internet of Things
Mohamed Mostafa Fouad
3. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
An Inquiry
Can Objects Sense as Humans?
4. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
An Inquiry
How is the accuracy of their sensing?
Room occupancy detectors
*http://uk.farnell.com/omron-d6t-mems-thermal-ir-sensor
http://www.eurekamagazine.co.uk/design-engineering-features/technology/novel-sensor-is-capable-of-detecting-human-presence-without-movement/46787/
Thermal IR Sensor
5. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
WSN: An Overview
http://www.sibridgetech.com/Wireless-Sensor-Network.aspx
6. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
Can anyone build a Sensor Network?
Building a network is not a problem, the real
problem is in its operation and management.
7. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
WSN Design challenges
• Resource constraints
http://research.ee.port.ac.uk/index.php?page=mobility-optimisation-of-wireless-sensor-networks
8. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
WSN Design challenges
• Depletable resources (e.g. battery power)
MechanicalSolar
Energy Harvesting Solutions
Thermal
http://videolectures.net/wsnsme2010_mohoric_hwss/
9. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
WSN Design challenges
• Heterogeneity
– Devices with different capabilities
• Distribution Strategy
– Structured vs. Randomized
10. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
• Fault Tolerance
WSN Design challenges
Next Gen. Smart ID Card• Security
• Privacy
11. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
• Syntax
– The Grammar
– How to say something
x=x+1 , x+=1 , x++ (same meaning)
• Semantic
– Meaning
– GUI
WSN Design challenges
12. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
WSN Applications
13. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
Applications of WSN
• Environmental
Monitoring
• Natural Disaster
Detection
El-Bendary, Nashwa, Mohamed Mostafa M. Fouad, Rabie A. Ramadan, Soumya Banerjee, and Aboul Ella Hassanien. "Smart Environmental Monitoring Using Wireless Sensor Networks."
14. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
Applications of WSN
• Structural Health
Monitoring.
Waste
Management
Libelium, Alicia Asín (2011), Smart Cities Platform From Libelium Allows System Integrators to Monitor Noise, Pollution, Structural Health and Waste Management, Available online at: [http://www.libelium.com/smart_cities]
15. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
Applications of WSN
• Monitor food sustainability
and Ripeness.
http://www.libelium.com/es/food_sustainability_monitoring_sensor_network/
Elhariri, Esraa, Nashwa El-Bendary, Mohamed Mostafa M. Fouad, Jan Platoš, Aboul Ella Hassanien, and Ahmed MM Hussein. "Multi-class SVM Based Classification Approach for Tomato Ripeness." In Innovations in Bio-inspired Computing and Applications, pp.
175-186. Springer International Publishing, 2014.
16. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
Applications of WSN
• Road Monitoring
– Traffic monitoring
http://www.libelium.com/es/food_sustainability_monitoring_sensor_network/
** http://www.networkworld.com/article/2598701/internet-of-things/162428-11-internet-of-things-ideas-worth-watching.html
– Solar Roadways
– Objects detection*
17. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
Applications of WSN
• Road Monitoring
– Anomalies detection
Elhariri, Esraa, Nashwa El-Bendary, Mohamed Mostafa M. Fouad, Jan Platoš, Aboul Ella Hassanien, and Ahmed MM Hussein. "Multi-class SVM Based Classification Approach for Tomato Ripeness." In Innovations in Bio-inspired Computing and Applications, pp.
175-186. Springer International Publishing, 2014.
Speed bump
18. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
Applications of WSN
• eHealth care
http://www.libelium.com/e-health-low-cost-sensors-for-early-detection-of-childhood-disease-inspire-project-hope/#!prettyPhoto
http://www.electronicproducts.com/Company_Community/Renesas/Renesas_Technical_Articles.aspx
19. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
What is IoT
The Internet of Things (IoT) is the interconnection of uniquely
identifiable embedded computing devices within the
existing Internet infrastructure. Typically, IoT is expected to offer
advanced connectivity of devices, systems, and services that
goes beyond machine-to-machine communications (M2M) and
covers a variety of protocols, domains, and applications*.
*http://en.wikipedia.org/wiki/Internet_of_Things
20. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
A Question?
• How to make IoT work?
– Each device should have an address in order to be
reachable.
http://www.techweekeurope.co.uk/workspace/ipv6-poll-adoptio-101645
IPv6 would allow more IP addresses for everything
21. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
IT vendors reveal their IoT strategies
20 Billion
Connections
by 2020
22. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
IoT Applications
http://www.libelium.com/top_50_iot_sensor_applications_ranking/
23. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
24. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
The Internet of Things and Big Data
• Since IoT generates billions of data it will need
special Hardware's / Software Services
25. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
25
26. This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
Thank you
Mohamed Mostafa Ismail
Ostrava, Faculty of Electrical Engineering and Computer Science (14 Nov 2014)
This project is funded by Structural Funds of the European Union and state budget of the Czech Republic
Editor's Notes
Yeah they can even better than human.? But the problem how is the accuracy of their sensing
The room occupancy is an example of the drawback of the motion detectors since they may switch off the light and the heater, etc. if the persisted person doesn’t make any motion, therefore there is a need to collaborate these detectors with another thermal sensors.
As we will have a number of sensors collaborating together we in need to build a network and protocols to set communication done.
A WSN consists from hundreds to thousands of low cost sensor devices which could either have a fixed location or randomly deployed in an environment, they collaborate together to monitor this environment and send monitored data to a more powerful device which is the base station.
A single sensor node has a limited radio bandwidth transceiver for communication, a low computational capability processor, a small amount of memory and storage space for the code, and small un-chargeable batteries as an energy source.
Wireless sensor networks (WSNs) have recently attracted a lot of interest in the research community due to their use in a wide range of applications like industrial process control, security, surveillance, environmental sensing, health monitoring, etc. They are also used to support cost-effective sensing in situations where human observation or wired systems deployment can be inefficient, expensive, dangerous, or otherwise untenable.
A WSN consists from hundreds to thousands of low cost sensor devices which could either have a fixed location or randomly deployed in an environment, they collaborate together to monitor this environment and send monitored data to a more powerful device which is the base station.
A single sensor node has a limited radio bandwidth transceiver for communication, a low computational capability processor, a small amount of memory and storage space for the code, and small un-chargeable batteries as an energy source.
called “Energy Harvesting Solutions”
-Inoculating a wireless network with some powerful capabilities sensor nodes can enhance the overall network's performance. In such situations the network will consist of two different types of nodes: a powerful high end sensors and weak low end sensors. This use of different sensors with different sensing and transmission capabilities leads to a heterogeneous WSN. One of the advantages of this heterogeneity is the assurance of network's coverage by using a small number of nodes rather than adding a larger number of weak nodes [20].
-There are two main distribution strategies defined in WSN: the structured (pre-deterministic) distribution and the randomized distribution. the structured (pre-deterministic) distribution provide full area coverage, where each sensor node is covering a predefined area.
-throwing sensor nodes from an airplane to a hostile environment. The coverage and connectivity performance in such a situation is dependent on the density of sensor nodes and their communication bandwidth.
the reliability of wireless sensor networks (WSN) is affected by faults that may occur due to various reasons such as energy exhaustion, hardware failure, communication link errors, malicious attack, or environmental hazards (e.g. fire or flood). Therefore, fault tolerance is one of the critical issues in WSNs, which is the ability of a system to deliver a desired level of functionality in the presence of faults [29]. The routing protocol has to have strategies for detecting happened faults within a network and enables that network to recover from these faults to continue its operations [30].
-the use of wireless sensor networks has become pervasive especially in hostile or harsh environments. Therefore, wireless sensor networks introduce additional security challenges for protocols designers. These security mechanisms should require less computational power and memory because of the constrained resources of the sensor node
Next generation ID card will have a microphone, a n accelerometer to detect employees behaviors.
Syntax and semantic are all about communication,
Network protocol
Language for human
We currently have a new concept “Semantic Web” Make the current web more machine accessable.
GUI
How to define your task , who will execute and how to get information back to the location (sink)
a Wireless Sensor Network in Asturias (Spain) in order to detect forest fires by monitoring CO, CO2, humidity and temperature in 210 hectares.
Golden bridge in NY had installed SHM sensors
Low Cost Sensors for Early Detection of Childhood Disease
The e-Health Sensor Platform with its array of sensors
When we talk about WSN we talk about isolated systems, that only accessible by the authorized peoples.
The idea of IoT is to plant all these isolated systems into a big integrated system.
Through given access to others (freely or paid). So they can build other applications and services over it.
Big Market
As the Internet of Things generates billions of data points that need to be stored, processed and analyzed, vendors competing in the data center hardware, software and service markets need to address this phenomenon with precise product, sales and marketing strategies.
Processing large quantities of IoT data in real time will increase as a proportion of workloads of data centers, leaving providers facing new security, capacity and analytics challenges
Security
Enterprise Challenges
Consumer Privacy
Data
Storage Management
Server Technologies
Data Center Network
The magnitude of network connections and data associated with the IoT will accelerate a distributed data center management approach that calls for providers to offer efficient system management platforms
The rapid growth of data will force data center vendors to include IoT-aware infrastructure and capacity management platforms in their product offerings
To conclude the IoT is one of the key drivers to the future internet.
The future internet is to convert the current internet into a new one that can serve all things.