| The information capture ability of mobile nodes is the key to measure the monitoring performance of mobile sensor networks.At present,the research on information capture in mobile sensor networks subjectively thinks that the random characteristics of random events occurring at points of interest obey the exponential distribution with fixed parameters,which will lead to large errors in the off-line fixed speed model of nodes in practical application.At the same time,due to the energy limitation of the mobile node itself,it is very necessary to place a Mobile Charging Vehicle(MCV)to charge the node in order to maintain the information capture capability of the mobile node.However,the mobile node is moving all the time,which makes the process of charging the node by MCV very complicated.How to design the charging target selection strategy of MCV is the focus of current research.In this paper,the problem of large error in the off-line scheme of mobile sensor network in practical application and the charging target selection in the process of charging mobile nodes by MCV are studied in depth.(1)An online variable speed model for information capture of mobile nodes is proposed.The distribution parameters in the random characteristics of events are transformed into random variables,and Bayes analysis and estimation are carried out.By studying the relationship between the monitoring quality of mobile nodes,the information captured by unit energy consumption of mobile nodes and Bayes posterior estimation of distribution parameters under different sensing utility functions,an online variable speed model with real-time correction of the moving speed of nodes is obtained.Compared with the offline scheme,the online variable speed model has better monitoring quality and network life.(2)The meeting model between MCV and mobile node is established,and a charging target selection algorithm based on comprehensive weight is proposed.This paper analyzes the nodes that need to supplement energy in mobile sensor networks,and establishes a comprehensive weight calculation formula composed of three weight indexes: the weight of remaining working time,the weight of distance and the weight of the number of interest points covered by the nodes,and quantifies the importance of nodes requesting charging.According to the different comprehensive weights,the algorithm gives the next charging target selection strategy in MCV charging process.While minimizing the number of dead nodes to be charged and maximizing MCV charging efficiency,the nodes with higher comprehensive weights are charged preferentially,which strengthens the charging protection of important nodes and solves the charging order problem of charging list in mobile rechargeable sensor networks. |
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