Application of Wireless Sensor Networks Localization in Near Ground Radio Propagation Channel

The wireless sensor network (WSN) is a network composed of spatially distributed sensors which communicate among themselves for detecting and recording the physical phenomenon (like temperature, sound, pollution levels, humidity, wind speed, pressure, and so on) and organizing the collected data at a central location. Due to the use of WSN in various applications, knowing the location of the object or event is one of the most important challenges in WSN, which is called the localization process. In this paper, received signal strength indicator (RSSI) and angle of arrival (AOA) algorithms are considered for the WSN localization process. Moreover, a new method based on AOA localization techniques with dynamic distance reference anchor has been presented and the problem of localization accuracy which is affected by environmental conditions is improved. The proposed algorithm is implemented into a near ground radio propagation channel of agriculture farm (short and tall grass). It is found that the new localization method provides the best results as compared with conventional methods.