443 resources related to Data Aggregation
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No organizations are currently tagged "Data Aggregation"
The MDM series of conferences, since its debut in 1999, has established itself as a prestigious forum for the exchange of innovative and significant research results in mobile data management. The conference provides unique opportunities to bring researchers, engineers, and practitioners together to explore new ideas, techniques, and tools, and exchange experiences. Comprising both research and industry tracks, it serves as an important bridge between academic researchers and industry researchers. Along with the presentations of research publications, it also serves as a meeting place for technical demonstrations (demos), workshops, advanced seminars, panel discussions as well as Industrial forum to cater industrial developers.The conference focuses on research contributions in data management in mobile, ubiquitous and pervasive computing.
The 15th International Conference HONET-ICT 2018 will focus on use of technologies for making Smart Cities a reality. Specifically, role of IoT and AI in conjunction with ICT will be explored in the technical sessions. As with the previous HONET events, we are expecting papers and presentations in the above-mentioned core areas as well as listed key words and related enabling technologies.
Wireless and Optical communications Networks WOCN2018 invites high-quality recent research results in the areas of Home and Health networking, Electronic commerce, Mobility and Mobile Payment, Broadband access, satellite services, 5G in rural communications, cloud computing, Smart grids, Big data analysis, Cyber security, Internet-of-Things IOT, Mobile and Wireless Communications, optical communications and networking, architectures, protocols, planning and design, management and operation, simulation and performance modeling. WOCN2018 conference is the application of the next generation of information and communications. WOCN2018 seeks to address and capture highly innovative and state of the art research and work in the area of information and communications technologies including wireless and Optical communications networks.
2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
IEEE CyberSciTech'18 aims to offer a platform for scientists, researchers, &engineers to share their latest ideas & exchange the latest developments and outcomes in their research and technologies, with a broad scope of cyber-related science, technology, &application topics to understand & shape new cyber-enabled worlds. IEEE DASC'18 aims to bring together computer scientists, industrial engineers, &researchers to discuss & exchange experimental & theoretical results, novel designs, work-in-progress, experience, & trend-setting ideas in the areas of dependability, security, trust and/or autonomic computing systems. IEEE PiCOM'18 aims to bring together computer scientists & engineers, to discuss & exchange experimental & theoretical results, work-in-progress, novel designs, & test-environments or test-beds in the areas of Pervasive Intelligence and Computing. IEEE DataCom'18 aims to bring scientists to present their ideas &experiences in the fields of Big Data intelligence &computing
All aspects of communications and networking research
No periodicals are currently tagged "Data Aggregation"
2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), 2017
In recent years, the functions and roles of Unmanned Aerial Vehicles (UAVs) have been rapidly developed with evolution of technologies such as communication and networking, sensors, and robotic systems. In addition, Flying Ad hoc Networks (FANETs), ad-hoc networks for Unmanned Aircraft System (UAS), increase the coverage and ability to transmit/receive data in an extended range. For these reasons, a UAS ...
2017 International Conference on System Science and Engineering (ICSSE), 2017
Nowadays, the problem of using minimum number of time slots for data aggregation such that sensors can work without data collision for data transmissions has received a great deal of attention in Wireless Sensor Network (WRSN). It is worth mentioning that there exists many approaches that are tried to reduce the number of time slots for data aggregation in WSNs. ...
2016 International Conference on Innovations in Science, Engineering and Technology (ICISET), 2016
Self Organized Data Aggregation Technique applying Evolutionary Game Theory is one of the most effective methods to select the optimum strategy for Delay Tolerant Network (DTN). In DTN, reliable end-to-end data transfer is provided by custody transfer mechanism where special nodes (custodians) exchange information with custody following hop-by-hop manner. For multi cluster Delay Tolerant Network, message ferrying approach is considered ...
2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA), 2019
Coupling batteries with photovoltaic generators in buildings can improve the building's self-consumption and reduce its reliance on the grid. To quantify the effects of different battery charge/discharge rates on self-consumption and peak power exchange, four grid impact indicators have been analyzed - self-sufficiency rate, self-consumption rate, loss-of-load probability and peaks above limit. The analyses were performed for two households, using ...
2017 Second International Conference on Informatics and Computing (ICIC), 2017
A Clustered Directed Diffusion (CDD) modeling to make energy consumption of sensor nodes operating efficiently called by clustered DD based routing protocol is presented in this paper. There are 4 stages of scenarios involved in this modelling i.e. sampling area determination, sensor node placement, implementation of stages 1 and stages 2 on DD processes and to perform optimization process for ...
Part 1: Derek Footer and Miku Jah - Agricultural Food Systems Panel - TTM 2018
Recurrent Neural Networks for System Identification, Forecasting and Control
The role of aggregation guided by fuzzy quantifiers in Information Retrieval and in Social Media Analytics
Carrier Aggregation Receivers - Shimi Shilo & Dror Regev - RFIC Showcase 2018
Not Quite 5G: New 4G+ Technologies on the Horizon - Panel from NIWeek 5G Summit
Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016
Brooklyn 5G Summit: Realizing Massive MIMO in LTE-Advanced and 5G
Explorations in BIG Data and sMall Data with a Fuzzy Perspective
Q&A with Dr. Sorel Reisman: IEEE Big Data Podcast, Episode 2
TechNews: Big Data
Temporal Pattern Mining in Symbolic Time Point and Time Interval Data
Fiery Data: Safeguarding Future Cities Against Fire Hazards | DSBC 2020
Q&A with Dr. Ling Liu: IEEE Big Data Podcast, Episode 8
Q&A with Dr. Iqbal Ahamed: IEEE Big Data Podcast, Episode 3
Q&A with Chris Franzino: IEEE Big Data Podcast, Episode 5
Yasuhiko Arakawa, Pallab Bhattacharya, Dieter H. Bimberg - IEEE Jun-Ichi Nishizawa Medal, 2019 IEEE Honors Ceremony
Q&A with Dr. Claudio Demartini: IEEE Big Data Podcast, Episode 4
Big Data Analytics: Tools and Technologies - Big Data Analytics Tutorial Part 2
Estimating Sparse Eigenstructure for High Dimensional Data
In recent years, the functions and roles of Unmanned Aerial Vehicles (UAVs) have been rapidly developed with evolution of technologies such as communication and networking, sensors, and robotic systems. In addition, Flying Ad hoc Networks (FANETs), ad-hoc networks for Unmanned Aircraft System (UAS), increase the coverage and ability to transmit/receive data in an extended range. For these reasons, a UAS promise new application areas for military and specific missions, such as search and rescue operations, target detection and attacks. However, due to three dimensional mobility with high speed and dynamic topology changes of UAVs in the air, a stable connection between UAV and Ground Control Station (GCS) for data exchange in ad-hoc mode is one of the biggest issues in FANET. The energy consumption is also an important issue, which ensures sufficient flight time of UAVs to perform assigned missions from a GCS. In this paper, we introduce the cluster head selection algorithms for FANET to achieve stable connection of UAS and reduction of energy consumption. Finally, the cluster head selection techniques which are suitable for mission-oriented FANET environments are discussed.
Nowadays, the problem of using minimum number of time slots for data aggregation such that sensors can work without data collision for data transmissions has received a great deal of attention in Wireless Sensor Network (WRSN). It is worth mentioning that there exists many approaches that are tried to reduce the number of time slots for data aggregation in WSNs. However, most of previous works are fallen into reducing time slots in certain circle. In this paper, we investigate the problem of Reducing Data Aggregation Time without Data Collision (RDATDC) problem and first propose a new overlap circle technique, which is termed the Overlap-Circle-based algorithm (OCBA), to solve the RDATDC problem. Simulation results show that the OCBA has better performance than other method.
Self Organized Data Aggregation Technique applying Evolutionary Game Theory is one of the most effective methods to select the optimum strategy for Delay Tolerant Network (DTN). In DTN, reliable end-to-end data transfer is provided by custody transfer mechanism where special nodes (custodians) exchange information with custody following hop-by-hop manner. For multi cluster Delay Tolerant Network, message ferrying approach is considered here. Now, the strategy selection (to become an aggregator or sender) is considered as a game in Evolutionary Game Theory, where, each node will draw result after interaction. For strategy selection, Imitation Update Rule of Evolutionary Game Theory has been utilized. We will focus mainly on the Birth-Death and Death-Birth Update Rules of Evolutionary Game Theory and select the better Update rules among three update rules.
Coupling batteries with photovoltaic generators in buildings can improve the building's self-consumption and reduce its reliance on the grid. To quantify the effects of different battery charge/discharge rates on self-consumption and peak power exchange, four grid impact indicators have been analyzed - self-sufficiency rate, self-consumption rate, loss-of-load probability and peaks above limit. The analyses were performed for two households, using datasets 1-minute and 1-hour time steps. The results indicate that low charge/discharge rates have a negative effect on self-consumption and little to no effect on peak power exchange. It was also found that the first three indicators can be calculated with a reasonable accuracy when data with 1-hour time steps are used. High resolution data is necessary for the accurate calculation of the last indicator.
A Clustered Directed Diffusion (CDD) modeling to make energy consumption of sensor nodes operating efficiently called by clustered DD based routing protocol is presented in this paper. There are 4 stages of scenarios involved in this modelling i.e. sampling area determination, sensor node placement, implementation of stages 1 and stages 2 on DD processes and to perform optimization process for both sampling area and sensor node placement in order to achieve most energy efficient on the CDD modeling. The combination between sampling area 500m × 500m and 20 nodes are shown in the J-Sim modeling simulation result with the capability to achieve energy efficient and ready to implement as a forest preventive fire system at Tesso Nilo National Park.
Reliable and trustful data aggregation is needed for most application in Wireless Sensor Networks. In this paper, we propose a new approach to attain data and key privacy protection in data aggregation called Preserving Data and Key Privacy in Data Aggregation for Wireless Sensor Networks (PDKP).Existing privacy preserving protocol provide more computational and communicational overhead in the sensor nodes. It increases the consumption of energy among the nodes. In our scheme, the encrypted content of the data is shared without revealing the data and key to other nodes by using simple technique. It preserves the key and data from an adversary with less computational and communication overhead. The base station can identify the distrustful groups related to the set of group aggregates and the retransmission of data is performed only for the abnormal data sensing intermediate nodes. It preserves the various security issues such as data freshness, data integrity, data confidentiality in data aggregation. Our simulation result showed that implementation of PDKP reduces the communication overhead and increases energy efficiency.
Wireless Sensor Network technology has been one of the most transforming and empowering technologies in recent years. In wireless sensor networks (WSNs), a sensor node collects all the data and forwarded to a sink node. The position of the sink node has a huge impact on the energy consumption and lifetime of WSNs. The collected data is transmitted through multihop communication to the sink. Data aggregation is a well-known approach in WSN and it is a process of collecting and aggregating the data from multiple sensors to provide combined information to the base station. This process repeats for many rounds in collecting these data efficiently that is to reduce the energy cost of data transmission. Traditionally tree-based structured approach is a basic operation for periodically sensing and collecting reports from all sensors nodes and sends it to the sink. It can find the shortest path between the leaf nodes and sink for transmitting the data in more efficient way in order to reduce the energy utilization. It is been known that this paper proposes algorithms such as Angular Query Region Division Routing Algorithm In Angular algorithm data aggregation protocol are used for sensing and collecting the data. This algorithms focus on two problems such as lifetime extension and energy consumption. The experimental results of the two algorithms are illustrated with below using ns2 simulation.
Wireless Sensor Networks are utilized as a part of wellbeing checking, Natural debacles like surge, tremor, thunder storm and so on. Sensor Nodes in WSN made up by little battery control, stockpiling and so on., the fundamental undertaking of sensor organize is handling and solid detected information and exchanging detected information to a base station or sink hub through remote correspondence . This proceeds with control supplies required for base station and sensor hubs has constrained memory and battery reinforcement for viable correspondence is detached. The vitality preservation is a noteworthy test in WSN. In this paper, proposed different procedures for vitality preservation for powerful correspondence .
Applicability of Wireless Sensor Networks is found in fields manifold. Energy issues proved to be a continuous setback to the performance of these networks. Data aggregation and the use of local base stations is seen as a promising solution to the problem. Clustering is a simple technique to achieve this. The local base stations or the cluster heads aggregate data from nearby nodes, process it and transfer data to the main base station(s). Density based approach to clustering, out of all, holds a better promise since geographical deployment of nodes is closely related to density of nodes in a region. This paper proposes an improvement of energy efficient density based clustering technique. Main idea is to restrict the number of cluster heads chosen to the minimum requirements. Simulation results show it is better as compared to other popular density based techniques.
The fine-grained and large number of measurements collected by smart meters can be used to reconstruct consumer behavior, and thus their widespread deployment for the modernization of electricity distribution networks has been associated with privacy concerns. This paper proposes an efficient and privacy-friendly hop-by-hop data aggregation scheme and a billing solution for smart grid systems. In our approach, hop-by-hop communication is utilized for transmitting usage reports of the smart meters. From the outcome of the security and performance analyses we can argue that our proposed scheme is secure and computationally more efficient, as compared to the other solutions.
No standards are currently tagged "Data Aggregation"