18535754. SENSOR NETWORK simplified abstract (Nokia Solutions and Networks Oy)
Contents
SENSOR NETWORK
Organization Name
Nokia Solutions and Networks Oy
Inventor(s)
Ming Lu of Murray Hill NJ (US)
Gurudutt Hosangadi of Murray Hill NJ (US)
SENSOR NETWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 18535754 titled 'SENSOR NETWORK
The patent application describes an apparatus that gathers statistical information from sensor data in a network, assigns sensors to a reduced activity state, and controls the rate at which sensors in this state provide data based on statistical information.
- Apparatus gathers statistical information from sensor data in a network
- Assigns sensors to a reduced activity state based on sensor data
- Controls the rate at which sensors in the reduced activity state provide data
- Uses sliding time windows of different lengths to obtain statistical information
- Combines longer-term and shorter-term statistical information for decision-making
Potential Applications: - Environmental monitoring systems - Industrial sensor networks - Smart home automation systems
Problems Solved: - Efficient management of sensor data - Optimization of sensor activity levels - Reduction of power consumption in sensor networks
Benefits: - Improved data analysis accuracy - Enhanced energy efficiency in sensor networks - Extended sensor lifespan
Commercial Applications: Title: "Smart Sensor Network Management System" This technology can be applied in various industries such as manufacturing, agriculture, and healthcare for optimizing sensor networks and improving data collection processes.
Questions about the technology: 1. How does the apparatus determine which sensors to assign to the reduced activity state? - The apparatus uses sensor data to analyze the activity levels of each sensor and makes decisions based on predefined criteria.
2. What are the advantages of using sliding time windows of different lengths for obtaining statistical information? - Sliding time windows allow the apparatus to capture both short-term fluctuations and long-term trends in sensor data, enabling more informed decision-making.
Original Abstract Submitted
According to an example aspect of the present invention, there is provided an apparatus configured to obtain longer-term statistical information from output data of plural sensors of a sensor network, using a sliding time window of a first length, obtain shorter-term statistical information from output data of the plural sensors of the sensor network, using a sliding time window of a second length which is shorter than the first length, and assign at least a subset of sensors of the sensor network into a reduced activity state based on sensor data from each respective one of the at least the subset of the sensors of the sensor network, wherein the apparatus is configured to select a rate at which sensors in the reduced activity state provide sensor data based at least on the longer-term statistical information and the shorter-term statistical information.
