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Method for positioning gas source based on maximum likelihood in wireless sensor network

A wireless sensor and positioning method technology, applied in wireless communication, network topology, electrical components, etc., can solve problems such as limited computing power, affecting the WSN life cycle, and unreasonable topology.

Inactive Publication Date: 2014-07-16
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, WSN also has disadvantages such as: the inherent limited energy of nodes, limited computing power, etc., will affect the life cycle of WSN; in addition, due to the random distribution of nodes, WSN will cause unreasonable topological factors.

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  • Method for positioning gas source based on maximum likelihood in wireless sensor network
  • Method for positioning gas source based on maximum likelihood in wireless sensor network
  • Method for positioning gas source based on maximum likelihood in wireless sensor network

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Embodiment Construction

[0038] The present invention is illustrated below in conjunction with examples.

[0039] like figure 1 As shown, the maximum likelihood gas source location method in the wireless sensor network provided by the present invention comprises the following steps,

[0040] Step 1: Node distribution and networking. A grid-type sensor layout is adopted in a certain area to be detected, that is, the area to be tested is divided into unit areas. The unit length and unit area depend on the sensing radius of the sensor. A sensor is arranged in the center of each unit area, and the data of the sensor passes through wireless network transmission;

[0041] Step 2: Detect events and determine participating nodes. When a gas diffusion event occurs, only when the measured value of the node exceeds the internally set concentration threshold value, the node participates in the positioning calculation, otherwise it goes back to sleep.

[0042] Step 3: Use the weighted centroid method to determ...

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Abstract

The invention discloses a method for positioning a gas source based on maximum likelihood in a wireless sensor network, and belongs to the technical field of positioning of the gas source. The method for positioning the gas source includes the following steps of arranging sensor nodes and conducting networking, detecting events and determining nodes participating in positioning, determining an estimated starting point through a center of mass weighting method, determining a sending sequence through a backoff timing method, sequentially sending measurement values to a fusion center, and conducting positioning through a maximum likelihood algorithm. By the adoption of the method for positioning the gas source, the gas source can be positioned in the complex environment such as the counter-terrorism environment, the ship pollutant diffusion environment, and the factory chemical substance leakage source positioning environment.

Description

technical field [0001] The invention belongs to the technical field of gas source positioning, and relates to a method for locating gas sources based on maximum likelihood in a wireless sensor network. Background technique [0002] Wireless sensor networks (WSN) is a distributed network formed by low-cost, low-power miniature wireless sensor nodes through self-organizing communication. Its nodes are low in cost and can be randomly scattered in the target area, and coordinate and complete information processing tasks through wireless communication and distributed data processing. It has broad application prospects in both military and civilian fields. [0003] Among many applications, tracking and positioning are very important applications. Tracking and locating sources of harmful gas pollution is a hot issue triggered by the September 11 terrorist attacks. A large number of different types of sensors are capable of measuring emitted harmful biochemical gases as well as r...

Claims

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Application Information

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IPC IPC(8): H04W64/00H04W84/18
Inventor 魏善碧柴毅王诗年邓萍陈淳唐健
Owner CHONGQING UNIV