Abstract
The underground sensor network is a kind of sensor network with sensor nodes buried in the soil. It is used in football fields, golf courses, and other stadiums and can effectively assist the stadium managers to maintain the turf condition. As the turf maintenance in the stadium is still in the manual state, the turf maintenance is time‐consuming and laborious. In order to improve this situation and adapt to future development needs, this paper proposes a wireless underground sensor network, designs the network architecture, and uses NS2 network simulation. The performance of the network was simulated and tested by the platform. This article first proposes a distance estimation method for sound and vibration signals based on the generalized correlation of the time difference of arrival based on the characteristics of the real signal when the event occurs. Then, for the range estimation obtained by applying this method, applying the idea of sparse signal reconstruction, a positioning algorithm based on the time difference of arrival based on the velocity function is proposed. Finally, using the above‐mentioned positioning algorithm, this paper obtains an overall fusion positioning strategy with the help of the idea of data fusion while taking into account the characteristics of the vibration source on the steel beam based on the positioning results of individual sound and vibration signals. The point of innovation lies in the development of positioning and tracking‐oriented platforms, including the development of wireless sensor network gateways and the development of sensor nodes. A network gateway based on network communication was developed to realize the connection with the Internet extranet. The results show that the wireless underground sensor network has strong usability in stadiums, and the network performance can meet the application requirements.
Highlights
As an emerging research field, wireless sensor networks can find a suitable position in many applications, and positioning is a member of these suitable applications [1]
In order to evaluate the performance of the wireless sensor network topology design and network protocol algorithm, it is impossible to achieve it through experiments alone, especially for large-scale wireless sensor networks, because a large number of nodes need to be deployed, adjusted, and maintained, and it is even more difficult to achieve through experiments
It can be seen that the wireless sensor network composed of this node is within 80 m, and the communication packet loss rate is less than 3%, which meets the application requirements of data communication
Summary
As an emerging research field, wireless sensor networks can find a suitable position in many applications, and positioning is a member of these suitable applications [1]. Wireless underground sensor networks are an emerging market and a promising research field with a wide range of application scenarios. Journal of Sensors generated by the transmitting coil and the receiving coil, which is different from the electromagnetic wave communication technology, and can play a stable role even in the severe soil environment [7]. The excessively high soil moisture causes extremely high path loss in the communication link, which greatly limits the wireless electromagnetic wave signal and the transmission distance [8]. Aiming at the positioning of patrol personnel and robots in venues, based on the application of the round-trip time ranging network model, this paper proposes the AMWSMC (Adaptive MDS-dependent Weighting-based Sequential Monte Carlo) algorithm for fast and accurate positioning with multiple moving targets. From the analysis results, compared with the existing typical routing algorithms, the routing algorithms designed in this paper can effectively reduce the energy consumption of the network and prolong the lifetime of the network
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