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DATA CAPTURING AND RETRIEVAL FROM WIRELESS SENSOR NETWORKS USING SEMANTIC WEB
... Semantic technologies can be employed to supplement IoT sensor data with contextual information, relationships, and relevant metadata. This augmentation makes it easier to integrate, find, and analyze data that will be useful for machine interpretation [17]. In 2018, Faroom et al. proposed an Android app-based home automation system. ...
In the majority of domains such as public health, industrial safety, and weather forecasting, monitoring of the environment is essential. The legacy monitoring systems do not have real-time data capture and cannot provide structured, queryable data. Sensors, cloud storage, and semantic web technologies are all employed in IoT-based solutions to address these issues. A system for environmental monitoring based on IoT for capturing, processing, and semantically representing real-time temperature and humidity information is suggested in this research. Semantic technologies drive the transformation of IoT sensor data into an even more valuable and useful form to support smart applications in different domains. Raw sensor data is augmented with context-dependent meaning through ontologies and RDF-based representation, improving machine comprehension and interoperability. It improves data exchange, analysis, and reasoning and is particularly useful for smart cities, industrial control, healthcare, and environmental monitoring. In smart cities, semantic IoT data supports efficient resource management, in industrial automation, process control and predictive maintenance are maximized and Context-aware technologies can provide individualized patient monitoring in the medical field. Semantic web technologies simplify IoT information, making it more structured, accessible, and actionable, paving the way for complex, intelligent systems.
... (For more information, please see [72]). Kamlendu Pandey et al., 2019 [73] published a data capturing and retrieval document from wireless sensor networks using the semantic web by proposing a Sensor Web Registry to achieve the challenge of integrating the data coming from heterogeneous sensor networks coming from various geographical locations. Xue et al., 2021 [74] proposed an integrating sensor ontology to enhance the communication between sensor networks in the Internet of things (IoT). ...
The development of the wireless sensor networks technology commonly named WSNs has been gaining a significantly increased amount of attention from researchers over the last few decades. Its large number of sensor nodes is one of the features that makes it beneficial to the technology. The sensors can communicate with each other to form a network. These sensor nodes are generally used for diverse applications, such as pressure monitoring, fire detection, target tracking, and health monitoring, etc. However, the downside is that WSNs are often deployed in hostile, critical environments where they do not restrain physical access. This reality makes them incredibly vulnerable to clone node attacks or node replication attacks. The adversary can capture the legitimate sensor nodes, extract them and then collect some sensitive information, such as node ID, keys and perform a replication attack. This possibility will afterward facilitate the attacker to be able to take control of the whole network and execute the same functions as that of the authorized nodes. Based on this vulnerability, it is of great importance for researchers to invent a detection protocol for the clone attacks as well as a mitigation method. From all of the researches that have been published, a lot of them proposed some techniques to detect the clone node attacks and also to mitigate the attacks. However, almost none of them semantically focused on the security layer establishment. Based on this fact, we proposed an ontology-based approach Ontology for Replication Attacks in Static Wireless Sensor Networks “ORASWSN”, which can semantically be used for the detection and mitigation of the attacks by taking into consideration the importance of using security layers.
Introduction:
Today, Internet of Things applications offer new opportunities in all domains like home automation, transportation, medical diagnosis, agriculture, etc. According to McKinsey Global Institute research, IoT will cover a market share of over $11.1 trillion by 2025. Moreover, Semantic web technology approaches are used in IoT applications so that machines can understand and interpret sensor-collected data.
Method:
Our proposed system uses a DHT11 sensor, NodeMCU for data collection, and ThingSpeak cloud for data analysis and visualization. It utilizes the Protégé tool to develop semantic data modelling using Ontology/RDF graphs and retrieval for future SPARQL queries.
Result:
This approach ensures the optimal presentation of sensor data and the meaning of data and controls the information for the Home Automation System. By semantic layer, we improved integration, interoperability, discovery, and data analysis.
Conclusion:
As far as applications are concerned, semantic technologies and IoT sensor data can be transformed into a more valuable and practical format, enabling intelligent applications and systems development across multiple fields, such as smart cities, industrial automation, healthcare, and environmental monitoring.
The Rectenna consisting of Radio Frequency to Direct Current conversion circuit with antenna for the reception of RF signal needs to be designed to realize efficient power transmission with high conversion efficiency. In this paper, main area of work is to design Rectenna using low pass filter circuit with different order of filters. The parameters of the complete system have been calculated by using Matlab. Simulated results using CST have been compared and analyzed for different orders of filters.
The Open Geospatial Consortium (OGC) standards activities that focus on sensors and sensor networks comprise an OGC focus
area known as Sensor Web Enablement (SWE). Readers interested in greater technical and architecture details can download the
OGC SWE Architecture Discussion Paper titled “The OGC Sensor Web Enablement Architecture” (OGC document 06-021r1).
A wireless sensor network (WSN) consists of a large number of small devices with computational power, wireless communication and sensing capability. These networks have been developed for a wide range of applications, such as habitat monitoring, object tracking, precision agriculture, building monitoring and military systems. Meanwhile, middleware systems have also been proposed in to facilitate both the development of these applications and provide common application services. The development of middleware for sensor networks, however, places new challenges on middleware developers due to the low availability of resources and processing capacity of the sensor nodes. In this context, this paper presents the design and implementation of a middleware for WSN named Mires. Mires incorporates characteristics of message-oriented middleware by allowing applications communicate in a publish/subscribe way. In order to illustrate the proposed middleware, we have also developed an environment-monitoring application and a data aggregation service.
Sensors provide some of the basic input data for risk management of natural and man-made hazards. Here the word ‘sensors’ covers everything from remote sensing satellites, providing invaluable images of large regions, through instruments installed on the Earth's surface to instruments situated in deep boreholes and on the sea floor, providing highly-detailed point-based information from single sites. Data from such sensors is used in all stages of risk management, from hazard, vulnerability and risk assessment in the pre-event phase, information to provide on-site help during the crisis phase through to data to aid in recovery following an event. Because data from sensors play such an important part in improving understanding of the causes of risk and consequently in its mitigation, considerable investment has been made in the construction and maintenance of highly-sophisticated sensor networks. In spite of the ubiquitous need for information from sensor networks, the use of such data is hampered in many ways. Firstly, information about the presence and capabilities of sensor networks operating in a region is difficult to obtain due to a lack of easily available and usable meta-information. Secondly, once sensor networks have been identified their data it is often difficult to access due to a lack of interoperability between dissemination and acquisition systems. Thirdly, the transfer and processing of information from sensors is limited, again by incompatibilities between systems. Therefore, the current situation leads to a lack of efficiency and limited use of the available data that has an important role to play in risk mitigation. In view of this situation, the European Commission (EC) is funding a number of Integrated Projects within the Sixth Framework Programme concerned with improving the accessibility of data and services for risk management. Two of these projects: ‘Open Architecture and Spatial Data Infrastructure for Risk Management’ (ORCHESTRA, http://www.eu-orchestra.org/) and ‘Sensors Anywhere’ (SANY, http://sany-ip.eu/) are discussed in this article. These projects have developed an open distributed information technology architecture and have implemented web services for the accessing and using data emanating, for example, from sensor networks. These developments are based on existing data and service standards proposed by international organizations. The projects seek to develop the ideals of the EC directive INSPIRE (http://inspire.jrc.it), which was launched in 2001 and whose implementation began this year (2007), into the risk management domain. Thanks to the open nature of the architecture and services being developed within these projects, they can be implemented by any interested party and can be accessed by all potential users. The architecture is based around a service-oriented approach that makes use of Internet-based applications (web services) whose inputs and outputs conform to standards. The benefit of this philosophy is that it is expected to favor the emergence of an operational market for risk management services in Europe, it eliminates the need to replace or radically alter the hundreds of already operational IT systems in Europe (drastically lowering costs for users), and it allows users and stakeholders to achieve interoperability while using the system most adequate to their needs, budgets, culture etc. (i.e. it has flexibility).
Integrating wireless sensor networks with the traditional wired grid poses several challenges. The technical challenges center on the development of sensors and sensor network infrastructure, including the need to comply with emerging APIs for grid and Web services. Process-driven challenges, which center on the development and adoption of new business models and applications, are driving this technology. We describe two widely different sensor network applications - emergency medical services and supply chain management - and describe how they fit into a new data-collection network based on the Hourglass publish-subscribe paradigm.
Along with the continuous development of the sensor network technology, sensors from all over the world are constantly producing sensor data. However, the sensor data from different source is hard to work together for lack of semantic. Fortunately, SSN ontology provide a way to represent sensor data semantically, but how to transform sensor data into the instance of SSN ontology conveniently is still an issue to be considered. This paper proposed a solution to map sensor data to SSN ontology automatically based on a predefined XML-based document. We design a mapping language SASML (Sensors Annotation and Semantic Mapping Language) which provide a schema to annotate sensors and sources so as to generate a XML document for mapping. Then, an algorithm (namely SDRM) is designed to automatically transform sensor data, which described by SASML, to RDF conforming to SSN ontology, according to the mapping document and the element correspondences between the SASML and SSN ontology. Further, a case study about sensor data from greenhouse is presented to illustrate our method, and a prototype is also developed to demonstrate the feasibility and effectiveness.
In the current decade, substantial growth in number of wireless sensor network deployments to sense a wide array of data ranging from environmental to healthcare is observed. As these WSNs are designed with the goal to serve their own organisation without futuristic idea of sharing the data with others, their architectures pose a limitation to the purpose of collaboration. A design is presented in this paper to create stack of services, interfaces and repositories for a standard WSN set-up to support collaboration which will enable data sharing in efficient way. With the help of proposed architecture, the service brokers, federal agencies and individuals can make use of these services to enrich their understanding of geo-spatial and temporal behaviour of the sensed data. The SOA comes as the ready to use technological standard to implement the stack and its invocation.
Integrating sensor networks and grid computing in sensor-grid computing is like giving 'eyes' and 'ears' to the computational grid. Real-time information about phenomena in the physical world can be processed, modelled, correlated and mined to permit on-the-fly decisions and actions to be taken on a large scale. Examples include environment monitoring with prediction and early warning of natural disasters, and missile detection, tracking and interception. We describe some early work in sensor-grid computing, and discuss the research challenges that need to be overcome before such a vision can become reality, such as web services and service discovery, interconnection and networking, coordinated quality of service (QoS) mechanisms, robust and scalable distributed algorithms and efficient querying.
Recent technological trends are transforming sensor nodes from passive data-gathering entities to a collaborative network of sensors; capable of providing data-related and event-related information services. Such a sensor-based information service is useful only if it can be seamlessly accessed across traditional networks and through familiar device interfaces. In order to enable such ubiquitous access to sensor-based services, we need a remote messaging protocol that supports versatile messaging options, interoperates over different types of network, and allows messages to be routed based on flexible attribute-based addressing of endpoints. Furthermore, in order to ensure ease of adoption and deployment within an enterprise as well as in consumer environments, we must leverage communication abstractions that are well-known and already supported on traditional networks. In this paper, we propose TinySIP as a communication abstraction for accessing sensor-based services. TinySIP is based on the session initiation protocol (SIP), which is a standard application-level signaling mechanism. Users on traditional networks remotely interact with a sensor network service by sending SIP messages. A gateway maps the SIP abstractions to the corresponding TinySIP abstractions and propagates the messages to the sensor nodes. We are currently planning on deploying the SIP-based solution that we propose on a research testbed to enable users on a wireless mesh to access the in-network storage and event correlation services offered by a sensor network consisting of 20 MicaZ sensor nodes
Design of SOA based Sensor Web Registry Proceedings of CICSyn IEEE confrence
- Kamlendu Pandey
- S V Patel
Kamlendu Pandey, S.V. Patel,Design of SOA based Sensor Web Registry Proceedings of
CICSyn IEEE confrence, Indore July,2009 P.
A Framework of Sensor -Cloud Integration Opportunities and Challenges presented in ICUIMC-09
- Biao Mohammad Mehedi Hassan
- Eui-Nam Song
- Huh
Mohammad Mehedi Hassan,, Biao Song,Eui-Nam Huh, A Framework of Sensor -Cloud
Integration Opportunities and Challenges presented in ICUIMC-09, January 15-16, 2009,
Suwon, S. Korea
Now, he is studying for a PhD's degree in computer science in the calorx teachers' university. He is working as Assistant Professor at Vidyabharti Trust College of BCA
- Mr
- Ronak Panchal Ronak Panchal
MR. RONAK PANCHAL
Ronak Panchal, was born in 1986, received the Master's degree in computer
science from Veer Narmard South Gujarat University, Surat, Gujarat, India.
Now, he is studying for a PhD's degree in computer science in the calorx
teachers' university. He is working as Assistant Professor at Vidyabharti
Trust College of BCA, Bardoli, Surat. His main research interests lie in
Semantic Web and Ontology integration. Email ID is ronak.panchal@vtcbb.edu.in.