3-D self-positioning method suitable for wireless sensor network

Abstract

The present invention discloses a 3D self-localization method for wireless sensor network. Location region P is screened by judging whether the random target point Mb is located in the tetrahedron formed of random four visual anchor nodes, and barycenter set of all location region P are calculated and the average coordinate value of all elements in barycenter set G is looked as coordinate location of target nodes Mb in wireless sensor network. The method of present invention doesn't need complex distance detecting device and expensive outer equipment, and the communication protocol is relatively simple, so the present invention is a 3D self-localization method for wireless sensor network has low cost and low power.

Description

technical field [0001] The invention relates to a positioning method in a wireless sensor network, in particular to a three-dimensional self-positioning method suitable for a target node in a wireless sensor network relative to an anchor node. Background technique [0002] In wireless sensor network applications that rely on location information, only by mastering the specific location information of sensor nodes can the actual meaning of the sensory data be clarified; at the same time, knowing the location of sensor nodes is helpful to realize geographic information-based routing in wireless sensor networks and data query protocol. However, wireless sensor networks generally have many nodes, widely distributed areas, and random deployment methods, so it is impossible to know the locations of all sensor nodes in advance. Therefore, the location of sensor nodes in wireless sensor networks is very critical. Because the traditional GPS (Global Positioning System) uses expensi...

AI Technical Summary

Problems solved by technology

Since the traditional GPS (Global Positioning System) uses expensive wireless communication and time synchronization equipment, it is not suitable for low-cost, low-power wireless sensor networks, so sensor nodes must have their own positioning capabilities

[0003] Most existing wireless sensor networks use node positioning in two-dimensional space, while wireless sensor networks deployed in three-dimensional space have more abundant location information than wireless sensor networks in two-dimensional space, and the network scale and distribution density have also increased, so the existing two-dimensional positioning system is limited by power consumption and cost, it is difficult to promote to the actual three-dimensional space application

The theoretical basis of the representative two-dimensional positioning method APIT is oriented to two-dimensional planes, and cannot be directly applied to three-dimensional space.

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