The efficient data prediction and clustered compressive sensing (CCS) in environmental application of WSN

Wireless sensor networks are built from nodes called mod - small autonomous devices powered by batteries and microchips with radio communication at a frequency - for example 2.4 GHz. A special software allows mods to be organized into distributed networks, communicate with each other, interrogate and exchange data with adjacent nodes, the distance of which is usually no more than 100 meters. A wireless sensor network (WSN) is a wireless network consisting of geographically distributed autonomous devices that use sensors to collectively monitor physical or environmental conditions in different areas. They can measure parameters such as temperature, sound, vibration, and pressure, movement of objects or wind. The development of wireless sensor networks was initially motivated by military tasks such as battlefield surveillance. In this paper discussed in detail about, wireless sensor networks are increasingly used in many areas of civil life, including industrial and environmental monitoring, healthcare, and material movement control. The main operational processing of the data collected by the motes is carried out at the node or gateway, which is a very powerful computer. But to process the data, you have to get it first. For this purpose, the node must be equipped with an antenna. But in any case, only objects close to it are accessible to the node; In other words, node does not receive information directly from each node