Analysis of models and optimization of information collection in wireless sensor networks
Pavlo Galkin · Eastern-European Journal of Enterprise Technologies · 2014
The paper analyzes various models of information collection from currently existing wireless sensor networks.The analysis has shown that depending on the collection model chosen, its application is limited. The model of data collection on schedule is optimal for tasks of permanent tracking of parameters of the investigated environment. Using the model of data collection on request allows partially obtain the benefits of the model of collection on schedule and arrange access to the nodes as to the database. The model of data collection on events is the most effective for monitoring the environment in terms of state changes and identifying significant events. Adaptive information collection models implement the idea of self-organizing wireless sensor networks.At the same time, there is no collection model that can be used with some restrictions for various wireless sensor networks. The only model that partially satisfies this condition, in some approximation, is a hybrid model.The hybrid information collection model allows to combine several models for solving specific operation problem of the wireless sensor network. The disadvantages of hybrid models are very complex network construction algorithms.Different approaches, which allow to optimize such information collection are proposed. Positioning nodes and introducing network aggregators provides enhanced adequacy and objectivity of the data obtained at low energy costs.The optimization problem of existing information flows in different information collection models in WSN remains relevant and practically significant