Accuracy-Aware Interference Modeling and Measurement in Wireless Sensor Networks

Abstract—Wireless Sensor Networks (WSNs) are increasingly available for mission-critical applications such as emergency management and health care. To meet the stringent requirements on communication performance, it is crucial to understand the complex wireless interference among sensor nodes. Recent empirical studies suggest that the packet-level interference model, also referred to as the packet reception ratio (PRR) versus SINR model or PRR-SINR model, offers significantly improved realism than other simplistic models such as the disc model. However, as shown in our experimental results, the PRR-SINR model yields considerable spatial and temporal variations in reality, which poses a major challenge for accurate measurement at run time. This paper presents a novel accuracy-aware approach to interference modeling and measurement for WSNs. First, we propose a new regressionbased PRR-SINR model and analytically characterize its accuracy based on statistics theory. Second, we develop ...

• Type: Journal
• Year: 2011
• Where: ICDCS
• Authors: Jun Huang, Shucheng Liu, Guoliang Xing, Hongwei Zhang, Jianping Wang, Liusheng Huang
• Keywords: Aggregation Techniques, Distributed And Parallel Computing, ICDCS 2011, Simplistic Models, Wireless Sensor Networks