Trajectory prediction-based wireless sensor network target tracking method

Abstract

The invention discloses a trajectory prediction-based wireless sensor network target tracking method, comprising: setting a listening mode for all network boundary nodes; when the network boundary nodes sense that a moving target appears, sending an announcement message to the grid cluster head of the grid in which it is located, and switching the working mode by the grid cluster head and the gridmember node; pre-judging and processing the target reachable region at the time t+deltat while positioning the target by the sensor nodes inside the grid where the moving target is located; continuously adjusting the grid and the working mode of the sensor node in the grid as the target moves; and after the target is lost, performing a recovery mechanism by the grid and the sensor nodes in the grid to reposition the moving target. The invention realizes the real-time accurate tracking of the moving target by designing a reasonable node working mode and the perfect trajectory prediction method, greatly reduces the network energy consumption, and at the same time, effectively prevents the target from being lost by designing the target recovery mechanism for the unexpected situation such asthe target loss.

Description

technical field [0001] The invention relates to an energy-efficient target tracking method based on trajectory prediction, which belongs to the technical field of wireless sensor networks and also belongs to the technical field of target tracking technology. Background technique [0002] A wireless sensor network is a wireless network with limited resources, harsh application scenarios, and complex and changeable application conditions. Most applications of wireless sensor networks depend on the location information of sensor nodes, because only when the location of nodes is known In order to design a more efficient routing mechanism, the data can reach the aggregation node more quickly, thereby reducing network energy consumption, increasing the coverage area of ​​the computing network, and realizing network load balancing and fast and secure information transmission. But now a large number of wireless sensor network applications are no longer limited to obtaining node loca...

AI Technical Summary

Problems solved by technology

[0003] However, compared with the traditional network target tracking system with strong data processing capability and relatively sufficient resources, wireless sensor nodes are easily limited by energy supply, communication efficiency and processing capacity, etc. has many insurmountable weaknesses

Usually, the sensor network is randomly distributed in the target monitoring area. When the target moves into the wireless sensor network, all sensor nodes must remain active to locate and track the moving target, and even determine the potential direction of movement of the moving target in the future. The collection and processing of data information will consume a lot of energy, and the nodes are powered by low-cost batteries, which are left unattended for a long time, and the energy is very limited and cannot be recharged

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