In the practical application of the Internet of Things for medical treatment, the effective integration of data helps a lot to improve the transmission efficiency of the network and to reduce its power consumption. Th...
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In the practical application of the Internet of Things for medical treatment, the effective integration of data helps a lot to improve the transmission efficiency of the network and to reduce its power consumption. Therefore, it is of great significance to study the data fusion algorithm in the Internet of Things for medical treatment. With respect to the demand on the timely and accurate feedback of data monitoring in the medical monitoring emergencies, this paper studies the routing technology related to the data integration and the wireless sensornetworks. In combination with the GIT routing algorithm, a dynamic cluster data fusion algorithm based on Event-Driven is proposed to improve the network efficiency and data accuracy. And thanks to the MATLAB simulation, the data is more accurate and the network delays fewer in the GIT routing algorithm than in the classical algorithm.
The Internet of Things (IoT) promises to be the next big revolution of the World Wide Web. It has a very wide range of applications, ranging from smart cities, smart homes, monitoring radiation levels in nuclear plant...
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The Internet of Things (IoT) promises to be the next big revolution of the World Wide Web. It has a very wide range of applications, ranging from smart cities, smart homes, monitoring radiation levels in nuclear plants, animal tracking, health surveillance and a lot more. When nodes in wireless sensornetworks are monitored through internet it becomes a part of Internet of Things. This brings in a lot of concerns related to security, privacy, standardization, power management. This paper aims at enhancing security in smart home systems. Devices like thermostat, air conditioners, doors and lighting systems are connected with each other and the internet through the internet of things technologies. Encryption and hash algorithms are proposed in this paper through which devices in the IoT can securely send messages between them. Encryption algorithm is used to ensure confidentiality as the attackers cannot interpret the cipher text that is sent. In order to ensure integrity (cipher text is not changed) hash algorithm is used.
In the present information era, huge amount of data to be processed daily. In contrast of conventional sequential data processing techniques, parallel data processing approaches can expedite the processes and more eff...
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In the present information era, huge amount of data to be processed daily. In contrast of conventional sequential data processing techniques, parallel data processing approaches can expedite the processes and more efficiently deal with big data. In the last few decades, neural computation emerged as a popular area for parallel and distributed data processing. The data processing applications of neural computation included, but not limited to, data sorting, data selection, data mining, data fusion, and data reconciliation. In this talk, neurodynamic approaches to parallel data processing will be introduced, reviewed, and compared. In particular, my talk will compare several mathematical problem formulations of well-known multiple winners-take-all problem and present several recurrent neural networks with reducing model complexity. Finally, the best one with the simplest model complexity and maximum computational efficiency will be highlighted. Analytical and Monte Carlo simulation results will be shown to demonstrate the computing characteristics and performance of the continuous-time and discrete-time models. The applications to parallel sorting, rank-order filtering, and data retrieval will be also discussed.
The objective of this paper is to summarize the recent literature and application examples of the use of Wireless sensornetworks (WSN) in the industry. Main focus in this paper is primarily on the use of collaborativ...
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ISBN:
(纸本)9781479923991
The objective of this paper is to summarize the recent literature and application examples of the use of Wireless sensornetworks (WSN) in the industry. Main focus in this paper is primarily on the use of collaborative wireless sensornetworks for condition and performance monitoring of the industrial machines and plants. Current challenges and potential future research issues are outlined for design of WSN-based industrial monitoring systems in order to provide guidelines to researchers and application developers.
Grouping of forest fire images into meaningful categories to reveal useful information is a challenging task. In order to overcome this challenge, data mining techniques can be used with wireless sensor network which ...
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ISBN:
(纸本)9781479933587
Grouping of forest fire images into meaningful categories to reveal useful information is a challenging task. In order to overcome this challenge, data mining techniques can be used with wireless sensor network which can detect and forecast forest fire more promptly than the satellite-based detection approach. This paper proposes an efficient image clustering algorithm using real time data for predicting of the occurrence of forest fire, with a new mechanism for secure information transmission in wireless sensornetworks by minimizing the threat attacks caused by malicious nodes in wireless sensornetworks.
Wireless sensor and Actuator networks together with processing elements named intelligent agents are achieving great importance in environmental control. The trend in this field points to implement small, low power, l...
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ISBN:
(纸本)9789897580017
Wireless sensor and Actuator networks together with processing elements named intelligent agents are achieving great importance in environmental control. The trend in this field points to implement small, low power, low cost and fast systems, which is in general, hard to achieve. In this paper, an electronic system that consists of several sensors and actuators and a FPGA endowed with Neurofuzzy based intelligent algorithms is presented. The purpose of this work is to demonstrate the effectiveness of the FPGA to provide intelligence to a Wireless sensor and Actuator networks. As example of application, a system which acts over a floor lamp intensity and an opening of a window in an autonomous way is presented. This autonomous action is calculated by the FPGA based on several parameters provided by the network (temperature, humidity and luminosity). By integrating the low power WSAN and the FPGA-based Intelligent Agent, a small, low power, low cost high-performance intelligent environment system is achieved.
We present present here a first pra architecture that allows us to decouple en activities in WSN. Such a separation ol us to utilize abundant energy sources location, allowing unrestricted lifetime energy consumption ...
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ISBN:
(纸本)9781479931460
We present present here a first pra architecture that allows us to decouple en activities in WSN. Such a separation ol us to utilize abundant energy sources location, allowing unrestricted lifetime energy consumption in WSN. We demons practical decoupling using low-cost and beaming that powers current WSN plat We design and implement LAMP: a tierel energy supply to both mesh and dust using an energy distribution protocol. IN show that, for an additional cost of $2 support perpetual mesh functionality for nodes in clustered operation.
Wireless sensor Network (WSN) is formed by deploying several sensor nodes in a region of interest for gathering information. The measured events are broadcasted via many sensor nodes to reach the sink node. In this sc...
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ISBN:
(纸本)9781479933587
Wireless sensor Network (WSN) is formed by deploying several sensor nodes in a region of interest for gathering information. The measured events are broadcasted via many sensor nodes to reach the sink node. In this scenario, there is a possibility for the presence of one or many jamming nodes which can introduce jamming attack into the network, which is a typical Denial of Service (DoS) attack. To escape from jamming Frequency Hopping Spread Spectrum technique is used where in the information will be transmitted with different carrier frequencies at different intervals of time. Therefore the intruder node might not be able to detect the data carrier frequency at an instant. In order to get synchronized, all nodes in sensor network should have same hopping pattern. The objective is to generate an indefinite length of uncorrelated frequency hopping pattern, to ensure secured communication between sensor nodes with low memory. The idea is to build security architecture within all wireless sensor nodes present in the network to provide secured radio channel selection for data transmission from source to sink nodes.
The Internet of Things concept is leaving its toddler age where essentially it is a research issue and becoming a key player in many current applications where Smart Cities are perhaps its greatest exponent. In such r...
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ISBN:
(纸本)9789897580017
The Internet of Things concept is leaving its toddler age where essentially it is a research issue and becoming a key player in many current applications where Smart Cities are perhaps its greatest exponent. In such realworld scenarios, efficient large scale machine-to-machine communication is of utmost importance. However, the current 6LoWPAN standard, proposed by the IETF, has some efficiency problems which can make its application to the Internet of Things very difficult to scale up. This work transforms the existent 6LoWPAN implementation enabling a data-centric solution that will overcome the current viability issues of 6LoWPAN in these networks through the integration of an in-network data processing aggregation mechanism. The proposed data aggregation mechanism increases dramatically the sustainability and network lifetime of 6LoWPAN based sensornetworks, contributing directly to the Internet of Things revolution.
sensornetworks are gaining more and more attention in the current technology landscape. It is undeniable that their use allows a better monitoring of events that occur in the real world. Many sensors have been deploy...
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ISBN:
(纸本)9781479959792
sensornetworks are gaining more and more attention in the current technology landscape. It is undeniable that their use allows a better monitoring of events that occur in the real world. Many sensors have been deployed for monitoring applications such as environmental monitoring, and traffic monitoring. A number of governments, corporates, and academic organizations or agencies hold independently sensor systems that generate a large amount of dynamic information from data sources with various formats of schemas and data. They are making this sensor data openly accessible by publishing it as Linked sensor Data (LSD) on the Linked Open Data (LOD) cloud. LSD is the concept that defines the publication of public or private organization sensor data without restrictions. This is achieved by transforming raw sensor observations to rdF format and by linking it with other datasets on the LOD cloud. The seamless integration of LSD sources from multiple providers is a great challenge. In this paper, we investigate the possibility of integrating diverse LSD sources using the hybrid ontology approach for on-line analytical processing (OLAP) on-the-fly. With such an ontology-based integration framework, organizations or individuals will have greater opportunity to make their respective analysis based on a large amount of sensor data openly accessible on the Web.
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