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A Sampling Approach to Maximize Network Lifetime in Data-Gathering Sensor Network for Greenhouse
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- Authors
- Sangho Lee, Aekyoung Moon
- Issue Date
- 2013-05
- Citation
- International Symposium on Embedded Technology (ISET) 2013, pp.1-2
- Language
- English
- Type
- Conference Paper
- Abstract
- The most comprehensive way of data collection is to extract sensor readings from the network through the periodic reporting of each sensed value from every sensor node. This scheme enables arbitrary data analysis at a sensor stream processing center once the data is collected. However, periodic data collection schemes tend to overuse the nodes and make them run out of energy quickly. Thus, Model-based data collection is a technique commonly applied to reduce the amount of communication required to collect sensor readings from the network or to optimize the sensing schedules of nodes to save energy. As well as greenhouse environmental information such as temperature, humidity, etc. Crop diseases, especially, have deep relationship not only with outdoor environmental factors but also with the behavior of actuator such roof or side windows, ventilation fans. In this paper, we propose new adaptive sampling approach that adjusts the sampling period of a sensor with respect to the features of behavior of actuator.
- KSP Keywords
- Adaptive Sampling, Data Collection, Data analysis, Environmental factor(E-factor), Environmental information, Network LifeTime, Periodic data, Processing center, Sampling approach, Save energy, Sensor networks