TITLE:
Passive Loss Inference in Wireless Sensor Networks Using EM Algorithm
AUTHORS:
Yu Yang, Zhulin An, Yongjun Xu, Xiaowei Li, Canfeng Che
KEYWORDS:
Wireless Sensor Networks, Passive Measurement, Network Tomography, Data Aggregation, EM Algorithm
JOURNAL NAME:
Wireless Sensor Network,
Vol.2 No.7,
July
9,
2010
ABSTRACT: Wireless Sensor Networks (WSNs) are mainly deployed for data acquisition, thus, the network performance can be passively measured by exploiting whether application data from various sensor nodes reach the sink. In this paper, therefore, we take into account the unique data aggregation communication paradigm of WSNs and model the problem of link loss rates inference as a Maximum-Likelihood Estimation problem. And we propose an inference algorithm based on the standard Expectation-Maximization (EM) techniques. Our algorithm is applicable not only to periodic data collection scenarios but to event detection scenarios. Finally, we validate the algorithm through simulations and it exhibits good performance and scalability.