Computational Analysis of Interference for Sustainable Operation of Wireless Networks

In wireless networks, data transmission is affected by interference from radio waves, and some data packets get discarded during transmission due to weak signal strength. As a result, data transmission is hazardous, and network operations are unreliable. This work addresses the investigation of co-channel and adjacent channel interference for sustainable operation of IEEE 802.11 networks. The goal of this work is to measure the level of signal interference experienced by access points and its impact on network performance. The Riverbed modeler tool was used to monitor and compute interference in the wireless network. According to the study results, the major cause of excessive interference is improper wireless channel distribution to access points.