Implementation study of a home position monitoring system for marine environment

摘要

According to requirements of marine observation environment, a kind of real-time data collection architecture in marine monitoring system, based on wireless sensor network, is proposed in this paper. The architecture is a two-level in-situ monitoring technology: the high level taking GPS as an absolute in-situ and the lower level taking wireless sensor array as a relative in-situ. The buoyages and base station equip with costly GPS, while a large numbers of sensor nodes equip with the cheap RF SOC. In wireless sensors network, we propose a position estimating algorithm that allows sensors to determine their location without any centralized computation. In addition, PEA provides a location verification mechanism that verifies the location claims of the sensors before data collection. We show that PEA bounds the ability of an attacker to spoof sensors' locations, with relatively low density deployment of reference points. We confirm the PEA against attacks analytically and via simulations. And a novel entropy-based incremental fuzzy clustering algorithm is designed to cluster real-time datum efficiently and gives attention to realtime while improving clustering accuracy by applying a series of improved policies. Results of simulation experiments show that proposed algorithm is adaptive to the requirements of marine observation.