Towards Efcient Building Of Interference Models In Sensor Networks

Interference modeling is important for the performance of many WSN protocolssuch as congestion control, link scheduling as more and more Wireless Sensor Net-works (WSNs) are being deployed for many data-intensive applications such as healthmonitoring and emergencymanagementwhichare sufering alot from interferencebe-cause of the busy channel. It is important to build the interference model quickly andaccurately. Recentstudiessuggestedthatthephysicalmodel(PRR-SINRmodel)issig-nifcantly more accurate than existing interference models. In this paper, we proposea central algorithm and a distribute algorithm to build the PRR-SINR model for everynode in a WSN respectively. We evaluate the two algorithms in our network which iscomposed of10TelosB nodes. The result shows that the models built by both of ouralgorithms achieve high accuracy, while the overhead is signifcantly low.