Wireless sensor network location refining method based on hop count

Abstract

The invention provides a refinement method of a wireless sensor network location which is based on hops. After the initial location of an unknown node in a network is implemented, the method adopts a multi-hop extension algorithm and the least square method of relative weights for implementing the refinement computation of an initial estimation position and acquiring the coordinate of a final estimation position of the unknown node. The refinement method implements the refinement of the unknown node in a multi-hop range, thus increasing the redundancy of position computation and the number of valid reference points in the refinement, and improving the precision of the location refinement of the unknown node. With respect to the least square method of relative weights, the method assigns different weights to the reference nodes with different setting accuracies, thus suppressing the accumulation of distance measurement error and node location error in the refinement computation, and effectively improving the location precision of the unknown node. The refinement method can be taken as a subsequent step of the location methods which are based on distances or unrelated to distances, thus achieving the goal of improving location precision.

Description

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AI Technical Summary

Benefits of technology

This technology helps improve the efficiency at which data transmission occurs between two devices over multiple hops by updating their positions based on known ones without requiring them altogether or only relying heavily upon weakly connected points that may be difficult to reach during communication. Additionally, this technique can help identify any potential issues with previous methods such as incorrect location estimates caused by poor signal quality or geometric changes like bending or folding wires. Overall, these technical improvements enhance overall performance capabilities across different types of networks.

Problems solved by technology

Technological Problem addressed in this patented technical solution describes various challengings faced when developing an efficient way to locate multiple devices at once within a single space under surveillance radar systems. These challenge factors involve determining precise locations accurately, requiring expensive equipment, complex calculations involving long periods of computation, and potential interference caused by external sources like sunlight or rainwater. Current solutions either rely heavily upon wireline connections or require extensive infrastructure resources due to lack of sufficient battery capacity.

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