Zhao Kuo

Bio: Zhao Kuo is an academic researcher. The author has contributed to research in topics: Wireless sensor network & Energy consumption. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

Wireless temperature sensor optimizing arrangement method in environment monitoring system

Abstract: The invention relates to a wireless temperature sensor optimizing arrangement method in an environment monitoring system. By forecasting the temperature values of sensors according to historical data of nodes of the temperature sensors, sensor network arrangement is optimized, energy consumption of the nodes is saved, and the situation of invalidation of the nodes can be dealt with. The method has the advantages that when the sensors are well arranged in an environment and high-frequency sampling is carried out in a period with forecasting needed, the collected historical data can be fully utilized, and a user can forecast the monitoring value of a certain sensor easily when data at a certain moment are collected; when energy consumption of a sensor network needs to be reduced, the user can reduce the number of the nodes of the wireless sensors properly to save energy for the sensor network; when node invalidation occurs when the sensor network operates, the user can forecast the temperature value of a corresponding sensor easily to well deal with the situation.

Information processing system, information processing method, and program

Abstract: PROBLEM TO BE SOLVED: To largely reduce a communication cost of sensor information while sustaining discrimination precision.SOLUTION: Provided is an information processing system 30 including a discrimination unit 310 that discriminates a state of an observation object using a result of learning based on pieces of sensor information received from plural sensor terminals 20, and a transmission control model construction unit 320 that determines for each of the sensor terminals 20, on the basis of a communication cost of the sensor information and discrimination precision by the discrimination unit 310, whether transmission of the sensor information is needed. On the basis of the sensor information that is transmitted depending on whether the transmission is determined to be needed by the transmission control model construction unit 320, the discrimination unit 310 discriminates the state of the observation object.SELECTED DRAWING: Figure 5

Sensor network deployment optimization method and device for event detection

Abstract: The invention discloses a sensor network deployment optimization method and device for event detection The types of wireless sensor nodes required by a first deployment scheme is determined according to a to-be-detected event, the number of the wireless sensor nodes of various types is set to be the theoretical maximum value, relative deployment cost of the wireless sensor nodes of each type is calculated, one wireless sensor node is deleted from the type of wireless sensor nodes with the largest relative deployment cost to obtain a second deployment scheme, the operation is repeated, and new deployment schemes can be sequentially obtained Each time a new deployment scheme is obtained, the monitoring precision of the deployment scheme needs to be judged, and the operation stops being repeated till the monitoring precision of one deployment scheme is smaller than or equal to a preset threshold, and the optimal deployment scheme is determined according to the deployment scheme The method and device can effectively reduce the deployment cost on the premise that the monitoring precision of the to-be-monitored event meets requirements

Analysis method, analysis program, and analysis device

Abstract: This invention makes it possible to predict the timing at which a failure will occur in a system (100). This analysis device (101) detects that the number (Nt) of a plurality of nodes (#1 through #N) that malfunctioned during a given period (prd) was 2. Then, on the basis of said period (prd) and the detected number of malfunctioning nodes, the analysis device (101) computes and outputs the number (Nper) of nodes that will be malfunctioning per unit time subsequent to said period (prd). The operator of the system (100) looks at said number (Nper) and determines, for example, whether or not nodes should be added to the system (100). For example, if the number (Nper) of nodes malfunctioning per unit time is greater than a number projected by the operator, the operator determines that nodes should be added to the system (100).