Department of Computer Science
Performance analysis of data management in sensor data storage via stochastic petri nets
Recently, sensor data storage has gained increasing popularity for reliable access to data through redundancy spread over unreliable nodes in wireless sensor networks. In storage-centric sensor networks, several schemes have been proposed to optimize the performance of data management in terms of data availability, repair bandwidth, etc. However, few works have been undertaken to study the performance of these data management schemes from a comprehensive point of view. In this paper, we adopt a concise graphic model, i.e., Stochastic Petri Nets (SPNs), to analyze the performance of three representative data management schemes. From the steady state probability matrix of the SPNs models, we can easily get the average energy consumption, repair bandwidth, reliability and data availability. Based on numerical results, we provide guidelines for designing sensor data storage systems. The results also demonstrate that our proposed models are suitable for analyzing data management schemes in sensor data storage. ©2010 IEEE.
Data management, Performance evaluation, Sensor data storage, Stochastic petri nets
Source Publication Title
2010 IEEE Global Telecommunications Conference GLOBECOM 2010
Miami, United States
Zeng, Rongfei, Chuang Lin, Yixin Jiang, Xiaowen Chu, and Fangqin Liu. "Performance analysis of data management in sensor data storage via stochastic petri nets." 2010 IEEE Global Telecommunications Conference GLOBECOM 2010 (2010): 1-5.