Context aware computing for the internet of things: A survey
As we are moving towards the Internet of Things (IoT), the number of sensors deployed
around the world is growing at a rapid pace. Market research has shown a significant growth …
around the world is growing at a rapid pace. Market research has shown a significant growth …
Large-scale indexing, discovery, and ranking for the Internet of Things (IoT)
Network-enabled sensing and actuation devices are key enablers to connect real-world
objects to the cyber world. The Internet of Things (IoT) consists of the network-enabled …
objects to the cyber world. The Internet of Things (IoT) consists of the network-enabled …
City data fusion: Sensor data fusion in the internet of things
Abstract Internet of Things (IoT) has gained substantial attention recently and play a
significant role in smart city application deployments. A number of such smart city …
significant role in smart city application deployments. A number of such smart city …
[HTML][HTML] An ontology-based context-aware system for smart homes: E-care@ home
Smart home environments have a significant potential to provide for long-term monitoring of
users with special needs in order to promote the possibility to age at home. Such …
users with special needs in order to promote the possibility to age at home. Such …
Exploiting cloud and workflow patterns for the analysis of composite cloud services
The rapid increase in heterogeneity, scale and diversity of cloud resources and services
leads to a growing-up complexity in their management and control. The development of new …
leads to a growing-up complexity in their management and control. The development of new …
An approach to implement data fusion techniques in wireless sensor networks using genetic machine learning algorithms
Abstract Wireless Sensor Networks (WSNs) can be used to monitor hazardous and
inaccessible areas. In these situations, the power supply (eg battery) of each node cannot …
inaccessible areas. In these situations, the power supply (eg battery) of each node cannot …
EK-means: A new clustering approach for datasets classification in sensor networks
In wireless sensor networks (WSNs), hundreds or thousands of nodes are deployed in order
to provide high quality monitoring. Nowadays, they constitute one of the most important …
to provide high quality monitoring. Nowadays, they constitute one of the most important …
[HTML][HTML] Improving prediction accuracy for WSN data reduction by applying multivariate spatio-temporal correlation
C Carvalho, DG Gomes, N Agoulmine, JN De Souza - Sensors, 2011 - mdpi.com
This paper proposes a method based on multivariate spatial and temporal correlation to
improve prediction accuracy in data reduction for Wireless Sensor Networks (WSN) …
improve prediction accuracy in data reduction for Wireless Sensor Networks (WSN) …
WSNs clustering based on semantic neighborhood relationships
We propose a semantic clustering model based on a fuzzy inference system to find out the
semantic neighborhood relationships in wireless sensor networks in order to both reduce …
semantic neighborhood relationships in wireless sensor networks in order to both reduce …
Self-configuring agents for ambient assisted living applications
Ambient assisted living (AAL) is advocated as the technological solution that will enable the
elderly population to maintain their independence for a longer period of time than would …
elderly population to maintain their independence for a longer period of time than would …