An Invulnerable Wireless Sensor Network Node Under Wild Survival Conditions

Abstract

The invention relates to a destroy-resistant wireless sensor network node under field survival conditions. The node comprises a soft landing system, a self-protection and data management module, a wireless communication module, a sensor module, a main control module, an emergency disposal module and a power supply management module; the soft landing system comprises a transparent landing device and a control circuit; the self-protection and data management module comprises a microprocessor, a data storage sub-module and an infrared sensor; the wireless communication module comprises a wireless radio frequency antenna and a power control circuit thereof; the sensor module comprises a sensor data collection circuit and a control circuit; the main control module takes a microprocessor as the core; a reset circuit and a control circuit connected with each module are built at the periphery of the microprocessor; the emergency disposal module is only triggered under an emergency; and the power supply management module comprises a solar energy conversion circuit, a lithium cell array, a solar cell panel and a collection circuit thereof. According to the node of the invention, the backcountry areas can be monitored in real time; and the node is featured by convenient deployment, strong survivability and strong deployment repeatability.

Description

[technical field] [0001] The invention relates to the technical field of wireless sensor networks, in particular to an invulnerable wireless sensor network node under field survival conditions. [Background technique] [0002] Wireless sensor network is one of the important supporting technologies of Internet of Things technology, and has broad application scenarios in military and civilian fields. However, there are two important reasons for damage to the invulnerability of wireless sensor networks, namely, energy consumption failure and attack failure. Among them, energy failure mainly refers to energy limitation, especially in the harsh environment conditions in the wild, and its network life is greatly affected. At present, many node scheduling algorithms and low-power technologies have emerged around how to reduce node energy consumption. Micro-electro-mechanical systems (MEMS) and new energy technologies (solar, wind, geothermal, etc.) are even showing their talents in...

AI Technical Summary

Problems solved by technology

Under complex field conditions, traditional measures often lose too many nodes in vain, which is counterproductive. Improving the survivability of nodes is the solution to the problem

Images