Study Of Detect Sensor Based On Wireless Sensor Networks

With the rapid development of science and technology, human society has entered the Information Age now. Wireless sensor network, a new type of communication technology, has been greatly developed in recent years, exerts far-reaching influence in people's life and widely used in various fields. Other than perception, collection, transmission and dealing with monitored information, you can also transmit instruction remotely or programmatically to the perceived object with wireless sensor networks.Communication, the core part of wireless sensor network, should be secure and reliable enough to ensure correctness during uploading or downloading directions. Chapter three Node Design in the paper introduced the mechanism of Reliability Assurance between nodes communication.Electromagnetic wave, the transmission medium, fades when transmitted in the air, during which the fading is described in a special channel fading model. However, due to the physical characteristics of the node and the limited application, the fading in wireless sensor networks cannot be accurately described. In this paper, analyze different experimental data obtained under the environment using an independent researched and developed system, and measure the parameters of the fading. Ultimately obtained a more accurate wireless sensor network channel fading model, which helps to study the signal strength of wireless communication even when circumstance changes.Currently, wireless sensor network sensor nodes are generally used in collecting information and communicating, with no other application at the same time. Based on wireless sensor networks which have already been laid, the environmental temperature measurement is achieved by the physical properties of the radio chip; and according to the parameters achieved in wireless sensor network communication, the human body detection theory is researched using carrier sense threshold and received signal strength, which is verified by the experiment. Without increasing other peripheral sensors, the temperature measurement and human body detection are realized, and the network efficiency is increased.