scholarly journals Strategies for Sensor Data Aggregation in Support of Emergency Response

2014 ◽  
Author(s):  
Xianping Wang ◽  
Aaron Walden ◽  
Michele C. Weigle ◽  
Stephan Olariu
Keyword(s):  
Emergency Response ◽  
Data Aggregation ◽  
Sensor Data

A Sensor Data Aggregation System Using Mobile Agents

2017 ◽  
pp. 39-65
Author(s):  
Tomoki Yoshihisa ◽  
Yuto Hamaguchi ◽  
Yoshimasa Ishi ◽  
Yuuichi Teranishi ◽  
Takahiro Hara ◽  
...  
Keyword(s):  
Data Aggregation ◽  
Mobile Agents ◽  
Sensor Data

Anomaly Detection in Streaming Sensor Data

2010 ◽  
pp. 99-117 ◽  
Author(s):  
Alec Pawling ◽  
Ping Yan ◽  
Julián Candia ◽  
Tim Schoenharl ◽  
Greg Madey
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Anomaly Detection ◽  
Emergency Response ◽  
Support System ◽  
Cell Phone ◽  
Scientific Work ◽  
Streaming Data ◽  
Sensor Data ◽  
A Cell

This chapter considers a cell phone network as a set of automatically deployed sensors that records movement and interaction patterns of the population. The authors discuss methods for detecting anomalies in the streaming data produced by the cell phone network. The authors motivate this discussion by describing the Wireless Phone Based Emergency Response (WIPER) system, a proof-of-concept decision support system for emergency response managers. This chapter also discusses some of the scientific work enabled by this type of sensor data and the related privacy issues. The authors describe scientific studies that use the cell phone data set and steps we have taken to ensure the security of the data. The authors also describe the overall decision support system and discuss three methods of anomaly detection that they have applied to the data.

Life-Environmental Sensor Data Aggregation Based on Neural Network

2014 ◽  
Author(s):  
Sang-Hyun Lee ◽  
◽  
Sang-Joon Lee ◽  
Kyung-Il Moon ◽  
◽  
...  
Keyword(s):  
Neural Network ◽  
Data Aggregation ◽  
Sensor Data ◽  
Environmental Sensor

scholarly journals Research on Monitoring and Prewarning System of Accident in the Coal Mine Based on Big Data

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Xu Xia ◽  
Zhigang Chen ◽  
Wei Wei
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Coal Mine ◽  
Data Aggregation ◽  
Delay Time ◽  
Assessment Model ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Working Face ◽  
State Of The Environment

More and more big data come from sensor nodes. There are many sensor nodes placed in the monitoring and prewarning system of the coal mine in China for the purpose of monitoring the state of the environment. It works every day and forms the coal mine big data. Traditional coal mine monitoring and prewarning systems are mainly based on mine communication cable, but they are difficult to place at coal working face tunnels. We use WSN to replace mine communication cable and build the monitoring and prewarning system. The sensor nodes in WSN are energy limited and the sensor data are complicated so it is very difficult to use these data directly to prewarn the accident. To solve these problems, in this paper, a new data aggregation strategy and fuzzy comprehensive assessment model are proposed. Simulations compared the energy consumption, delay time, cooperation cost, and prewarning time with our previous work. The result shows our method is reasonable.

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