Statistical Analysis Of Mobile Node Random Event Capture Dormancy Scheduling Scheme

It requires integrity and continuity of network monitoring functions in the application of wireless sensor networks.For energy-constrained sensor nodes,how to keep the wireless sensor network persistent and normal is a huge challenge.Therefore,the sleep scheduling and wireless charging technology of sensor nodes are two hot research directions of wireless sensor networks.In this paper,based on the known and unknown distribution parameters of the two random variables of event dwell time and interval time,we design the random event capture problem under two different schemes of mobile node offline variable sleep scheduling and online variable sleep scheduling,in addition,we propose a new scheduling strategy for special mobile nodes with the mobile charging model,which are mainly divided into the following sections to discuss:The first part introduces the research purpose and significance of this paper.It expounds the research status of mobile node random event capture dormancy scheduling at home and abroad and the research status of wireless charging technology with mobile nodes of charging equipment at home and abroad,and briefly explains the organizational structure and research of this paper content.The second part mainly introduces the definition of random event capture probability and Bayesian estimation related knowledge points.In the third part,based on the stochastic characteristics of random event dwell time and interval time,we design the offline variable sleep scheduling scheme for mobile node random event capture.Simulating the experiment with MATLAB and drawing the corresponding conclusions.In the fourth part,based on the exponential distribution of two random variable parameters,such as event dwell time and interval time,which discusses the Bayesian estimation of distribution parameters,and designes the online variable-time dormancy scheduling scheme for mobile node random event capture.It is the numerical simulation of online shift scheduling and offline uniform scheduling scheme that carries out with MATLAB,which concludes that the mobile node working state speed online shift scheduling scheme can further improve the unit energy capture efficiency compared with the offline uniform speed scheduling scheme,and it is a real-time correction conclusion.The fifth part first introduces the charging problem in the one-dimensional linear scene,and uses the relay charging method to solve the multi-node charging coverage problem.Secondly,the sensor nodes in the one-dimensional scene are extended to the two-dimensional space,and the scheduling in the one-dimensional scene.Based on the strategy,we propose a new scheduling strategy for the two-dimensional space.The sixth part,based on a single mobile node random event capture variable-sleep dormancy scheduling scheme,which can be extended to multiple mobile nodes to cooperate,and design offline or online variable-sleep dormancy scheduling scheme,or to move the mobile node about random event capture online shift scheduling problem and wireless.The combination of charging technology further enhances the performance of wireless sensor networks.