Search Results for "data aggregation in wireless sensor networks"

...The goal of the whole network is to maintain an energy neutrality state and to maximize the effective data throughput of the network. The cooperative Q-learning is applied in this multi-agent environment the solar-powered wireless sensor networks to keep harvested energy more balanced among the whole clustered network.

How can we analyze the water quality of a river? How can we monitor streets, cities, provinces of a country? How can we predict and prevent problems coming from earthquakes, snowstorms, fire spreads and all kinds of natural disasters? How can we test some new drugs without using animals? These and many other problems are initially solved by using simulators. It is extremely expensive, and sometimes dangerous, to test initial ideas in a real environment. We must use simulators to achieve...

Distributed event detection in multidimentional data streams in wireless sensor networks. Platform TelosB.

In Wireless Sensor Networks(WSNs), comb-needle(CN) model has been used for information discovery. CN model uses the push-pull strategy, when the sensor detects specific events, it will periodically push (broadcast) the information throughout the network, when user want to get the information, then a pull-based information query will be exploited.

Cloud based software to store and present data from one or more eKo Pro wireless sensor networks. Perl scripts, which connect to eKo Pro gateways, parse the XML packet streams, store and graph the extracted sensor data.

SpyGlass is a modular and extensible visualization framework for wireless sensor networks.

SIRS stands for "Smart Indicators for Reflection Support". SIRS is a framework for developing Indicators on top of sensor networks in web-based and ambient environments for data aggregation, information visualization and context adapation.

A Project on Data Management for sensor networks. Integration with back-end systems such as web-based information systems, process control, and enterprise software. Solves the deployment, data sharing and management problem of sensor networks.

A feedback-enhanced framework for routing in wireless sensor networks. Speeds up the process of implementing routing techniques. Enables piggybacking of routing information on data packets. Written for the Omnet++ simulator and the Mobility Framework.

Framework to simplify developing applications that use wireless body sensor networks (bodynets). Manages sensor sampling, data buffering, local processing and communication. Supports embedded devices running TinyOS and any Java-capable gateway.