Wireless sensor networks (WSN) are a very important and relevant field of research for modern control and monitoring applications in today's communications and information networks. The increased use of wireless devices across a variety of settings, from smart buildings to smart homes, energy consumption monitoring, healthcare applications, plus a myriad of mobile devices' applications worldwide have multiplied the already crowded radio spectrum anywhere causing problems. Hence, interference among concurrent transmissions causes severe performance degradation due to the coexistence of different wireless networks working on the very same frequency band, something which has an impact on the different applications' performance. The WSN working on the 2.4GHz frequency band experience interference from competing networks like Bluetooth, Wi-Fi (IEEE 802.11b/g) and also gets negatively influenced by applications like microwave oven and cordless phone. Because of said interference, the performance of the WSN is getting degraded. Furthermore, the operation of low power WSN is extremely vulnerable and unpredictable under interference conditions. Hence there is an increasing need for research on interference avoiding methods and on improving the coexistence mechanisms among different wireless devices operating on the same frequency band. This paper presents a comprehensive review on the important aspects of experimental analysis, estimation, modeling, and avoiding of interference for WSN and offers some insight in dealing with aforementioned problem. © 2020 School of Science, IHU.