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A Predictive Sensor Network Using Ant System, Rajani Muraleedharan, Lisa Ann Osadciw
A Predictive Sensor Network Using Ant System, Rajani Muraleedharan, Lisa Ann Osadciw
Electrical Engineering and Computer Science - All Scholarship
The need for a robust predictive sensor communication network inspired this research. There are many critical issues in a communication network with different data rate requirements, limited power and bandwidth. Energy consumption is one of the key issues in a sensor network as energy dissipation occurs during routing, communication and monitoring of the environment. This paper covers the routing of a sensor communication network by applying an evolutionary algorithm- the ant system. The issues considered include optimal energy, data fusion from different sensor types and predicting changes in environment with respect to time.
A Predictive Sensor Network Using Ant System, Rajani Muraleedharan, Lisa Ann Osadciw
A Predictive Sensor Network Using Ant System, Rajani Muraleedharan, Lisa Ann Osadciw
Electrical Engineering and Computer Science - All Scholarship
The need for a robust predictive sensor communication network inspired this research. There are many critical issues in a communication network with different data rate requirements, limited power and bandwidth. Energy consumption is one of the key issues in a sensor network as energy dissipation occurs during routing, communication and monitoring of the environment. This paper covers the routing of a sensor communication network by applying an evolutionary algorithm- the ant system. The issues considered include optimal energy, data fusion from different sensor types and predicting changes in environment with respect to time.
Collaborative Scientific Data Visualization, Byeongseob Ki, Scott Klasky
Collaborative Scientific Data Visualization, Byeongseob Ki, Scott Klasky
Northeast Parallel Architecture Center
We have designed a collaborative scientific visualization package that will aid researchers from distant, diverse locations to work together in developing scientific codes, providing them with a system to analyze their scientific data. We have utilized Java to develop this infrastructure. Two important areas which we have concentrated on developing are 1) a collaborative framework from which the scientific data is interpreted and utilized, and 2) a framework, which is customizable to the suit the needs of a particular task and/or scientific group.