The combination of body gesture recognition and virtual reality opens a broad field of possibilities for practical and activity-oriented learning scenarios based on virtual simulations. Many educational projects addre...
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The combination of body gesture recognition and virtual reality opens a broad field of possibilities for practical and activity-oriented learning scenarios based on virtual simulations. Many educational projects address this potential by using specific gesture sensors to interact with virtual artefacts in 3D learning environments. Unfortunately, most of these projects are stand-alone developments for dedicated use cases. A systematic approach for sensor integration is currently missing. This paper presents the development and use of a framework for a systematic integration and even fusion of different gesture sensors for innovative, mixed-reality learning scenarios. Thus, developers of learning applications will be enabled to create interactive virtual environments without the time-consuming familiarization with each sensor hardware and SDK. This leads to a reduced time-to-market as well as a higher transferability.
Resilience is the capability of a system to absorb and mitigate unexpected faults and risks. This paper describes a resilient middleware for sensor network management for supporting Situation Awareness in security sce...
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ISBN:
(纸本)9781467396073
Resilience is the capability of a system to absorb and mitigate unexpected faults and risks. This paper describes a resilient middleware for sensor network management for supporting Situation Awareness in security scenarios. The proposed middleware implements an approach based on two main approaches: Quality of Service and Artificial Bee Colony for identifying disturbances, incompleteness and uncertainty in raw data coming from physical sensors and reacting to them. In particular, an algorithm based on Artificial Bee Colony has been defined to discover association rules used to handle the absence of significant observations in the monitored environment and continue working and supporting higher architectural layers.
Localization is the fundamental research issue in wireless sensor networks because many sensor network applications such as search & rescue operations, target tracking require the accurate position information whe...
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Localization is the fundamental research issue in wireless sensor networks because many sensor network applications such as search & rescue operations, target tracking require the accurate position information where the event has acquired for further processing & communication activities. The localization can be done using beacon node with a Global Positioning System (GPS) receiver which is mobile. The main challenge is the trajectory followed by mobile beacon node. The beacon node follows the `z' trajectory in the existing approach. The beacon node moves in `z' path rather than moving in random movement in order to avoid collinear problem and reduce the energy consumption of the beacon node. But it has some drawbacks such as high path length, high localization time and transmission range of beacon node. These drawbacks are overcome in the proposed solution by following the optimized trajectory called as modified `z' trajectory. Implementation of path planning mechanism was done with the help of QualNet 5.0.2 network simulator.
As sensor data grow towards an explosion due to the popularity of Internet of Things and mobile computing, many sensor data sharing platforms are developed to support various sensor-based applications. Although these ...
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As sensor data grow towards an explosion due to the popularity of Internet of Things and mobile computing, many sensor data sharing platforms are developed to support various sensor-based applications. Although these platforms are able to provide capabilities such as collecting data from sensors and sensor data provision for applications, their capabilities are normally confined in direct retrieval of sensor data with little composition such as SQL aggregation or even no composition at all. This kind of raw sensor data provision not only increases the network traffic between platforms and applications, but also put most computation burden on the client side, which poses big challenges for applications running on resource-constrained devices such as mobile phones. In this paper, we propose cloud-based programmable sensor data provision, which moves the sensor data processing logic from client applications to cloud-based services. The key technique behind this is FilterCombine, a two-step sensor programming support framework that enables developers to specify sensor processing logic in the cloud service. By moving sensor data processing logic to the cloud, we not only reduce network traffic due to data transfer and computation on the client side, we also improve code reusability in the cloud side, as many sensor data processing logic can be shared among multiple applications. We build a prototype platform of cloud-based programming sensor data provision called MiWoT, which implements the proposed FilterCombine mechanism on the cloud side. We demonstrate the feasibility of the proposed techniques through case studies.
In the article the applications of wireless technologies in agriculture, ecological monitoring and defense are considered. The common approach of realization of wireless data acquisition systems for monitoring of biol...
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In the article the applications of wireless technologies in agriculture, ecological monitoring and defense are considered. The common approach of realization of wireless data acquisition systems for monitoring of biological object states in different areas of human activity was developed.
The Savannah River Tritium Plant (TP) relies on well understood but aging sensor technology for process gas analysis. Although new sensortechnologies have been brought to various readiness levels, the TP has been rel...
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The Savannah River Tritium Plant (TP) relies on well understood but aging sensor technology for process gas analysis. Although new sensortechnologies have been brought to various readiness levels, the TP has been reluctant to install technologies that have not been tested in tritium service. This gap between sensor development and incorporating new technologies into practical applications demonstrates fundamental challenges that exist when transitioning from status quo to state-of-the-art in an extreme environment such as a tritium plant. These challenges stem from three root obstacles: 1) The necessity for a comprehensive assessment of process sensing needs and requirements;2) The lack of a pick-list of process-compatible sensortechnologies;and 3) The need to test sensors in a tritium-contaminated process environment without risking production. At Savannah River, these issues are being addressed in a two phase project. In the first phase, TP sensing requirements were determined by a team of process experts. Meanwhile, Savannah River National Laboratory (SRNL) sensor experts identified candidate technologies and related them to the TP processing requirements. The resulting roadmap links the candidate technologies to actual plant needs. To provide accurate assessments of how a candidate sensor technology would perform in a contaminated process environment, an instrument demonstration station was established within a TP glove box. This station was fabricated to TP process requirements and designed to handle high activity samples. The combination of roadmap and demonstration station provides the following assets: Creates a partnership between the process engineers and researchers for sensor selection, maturation, and insertion Selects the right sensors for process conditions Provides a means for safely inserting new sensor technology into the process without risking production, and Provides a means to evaluate off normal occurrences where and when they occur. This pa
The advance of sensor and networking technologies led to the development of many WSN-based context-aware applications. Especially, WSN-based indoor location-based services (LBS) have been studied recently. To understa...
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The advance of sensor and networking technologies led to the development of many WSN-based context-aware applications. Especially, WSN-based indoor location-based services (LBS) have been studied recently. To understand the sensing data in those context-aware applications, we need to abstract the low-level sensor data into high-level context information to understand the data and transmit/process/store them with low cost. In the manuscript we propose the sensor data modeling framework for beacon-based indoor LBS application. The proposed framework derives the current location, the velocity and the trajectory of the user based on the distance to the indoor beacons. We can adopt the proposed framework to shorten the time and effort to develop indoor LBS application SW.
In the present scenario wireless sensor network is one of the most important technologies. sensor networks are comprised of huge amount of sensor nodes to control the surrounding environment. Mobility in wireless sens...
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In the present scenario wireless sensor network is one of the most important technologies. sensor networks are comprised of huge amount of sensor nodes to control the surrounding environment. Mobility in wireless sensor network ensures better performances and they are most efficient. In a wireless sensor network variety of data dissemination schemes are used for efficient data transmission. Among the different kind of data dissemination schemes, virtual infrastructure based data dissemination schemes are most efficient and suitable for current applications. In wireless sensor networks, there are lots of challenges; the major one is in the case of network lifetime. In order to solve these challenges many virtual infrastructure based data dissemination schemes are present. From many routing schemes two novel routing schemes are Virtual Circle Combined Straight Routing (VCCSR)[1]Virtual Grid based Dynamic Route Adjustment (VGDRA)[2]. Each scheme has its own benefits. In this paper, we proposed a novel routing technique which utilises the positive aspect of VGDRA and VCCSR for data collection. By using the hybrid scheme in WSN, we explore a balance in energy consumption, life time and average delay. VGDRA will help us to minimize the route reconstruction cost at the same time VCCSR will minimize the energy consumption and increase network lifetime.
Information and communication technologies are an important driver for supply chain performance. This paper analyses the ICTs' relative requirements for efficient supply chain management. Logistical systems in a s...
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Information and communication technologies are an important driver for supply chain performance. This paper analyses the ICTs' relative requirements for efficient supply chain management. Logistical systems in a supply chain, can integrate a combination of compatible information access, sensing and communication technologies. Such as RFID, WSN, GSM, GPRS, Wi-fi. The existing applications of ICTs within SC have been trying to optimize the performance of individual areas of SC. This practice often results in conflicting actions that reduce the SC surplus. This paper also provides a critical analysis of the existing solutions and highlights their impeding factors.
Wireless sensor networks are considered as the enabling technology for multiple smart grid applications such as remote metering, direct load control, renewable energy integration, substation monitoring etc. The IEEE 8...
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Wireless sensor networks are considered as the enabling technology for multiple smart grid applications such as remote metering, direct load control, renewable energy integration, substation monitoring etc. The IEEE 802.15.4 standard provides a basic foundation by defining the physical and MAC layer of the low power wireless sensor network. Carrier Sense Multiple Access-Collision Avoidance (CSMA-CA) with binary exponential backoff (BEB) algorithm is used as a technique to share the common wireless medium and avoids collision among the contending sensor nodes. However, this binary exponential algorithm does not account the application of traffic characteristics that essentially negatively affects the smart grid network performances in terms of packet delivery ratio and the time delay. In this paper, a novel spiral backoff mechanism is proposed that has considered the applications of traffic type to improve the network performances. Simulation results show that proposed spiral backoff algorithm reduces the end-to-end delay and increases packet delivery ratio (PDR) for the smart grid wireless sensor networks.
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