The Research Of Synchronization Evolutionary Model And Optimal Control Strategy For Wireless Sensor Networks

Nowadays with the rapid development of advanced wireless sensor networks (WSNs)technology, it brought the revolutionary change in the information awareness, processing,transmission and technology. A fusion of the objective of physical world and the logical ofinformation world will be no more a dream, then, great changes have taken place in theinteraction of human and nature. In the last decade, WSNs has became to the direction ofresearch that it is popular in the technology of information in future. Especially, with theconcept of “Internet of Things” was put forward in China, and the grand vision of “SensingChina” and “Smarter Planet” will build the beautiful blueprint of information in society, andalso it pointed out the direction of development for the technology of WSNs in future.Network-based theories have attracted an increasing interest and have proved to beprominent candidates to investigate the collective dynamics in many branches of science andengineering. From the background of technology in actual, in this dissertation, various WSNssystems can be described as complex networks, where the individual sensor nodes areabstracted by nodes, and interactions between individuals are represented as edges. Thus,dynamical evolution of these WSNs system can be investigated under the architecture ofWSNs. As a ubiquitous process in many different WSNs systems, synchronization on WSNshas been extensively and intensively studied. The key point is to uncover the essential factorsthat determine the synchronization, enhancing it when favorable and suppressing it whenharmful. In this paper, we propose two synchronization evolutionary models, and analyze thestructure of topology, interacting mechanism and coupling strategies. Moreover, investigatedthe conditions of synchronization on WSNs system, novel adaptive mechanism and controlstrategy are introduced to control synchronization of WSNs system, and optimized the controlsystem through analysis of stability. Try to solve and improve the efficiency of energy forsensor nodes, the performance of synchronization and controllability in WSNs, and so on. Themain contents of this dissertation are as follows:(1) Poisson dynamics in fitness evolution model for WSNs.WSNs are a dynamic social network, it should be an evolution network, and time of thenodes adding to the network cannot be uniform. In this paper, we try to explore the Poissondynamics of WSNs based on complex network theory combined with fitness function. Earlyworks have not considered the node energy，we present a new Poisson-fitness model. Then weconduct theoretical analysis by using statistical physics approach. With numerical simulations,the results show that the model fits well with expects. Our results offer important referenceson the performance issues depending on specific application scenarios of WSNs. (2) Put forward a novel coupling synchronization evolution model for WSNs.It tries to reconcile the tension between the evolving dynamic and the coupling protocolthat have been used to characterize synchronization relationship in multi-hop WSNs.Although the dynamic evolution model is widely considered as a reference model for physicalbehavior, its application in multi-hop WSNs is limited by its complexity. On the other hand,the coupling protocol in the synchronization model of WSNs is simple but there have beendoubts on its practicality and applicability. This paper explores the following fundamental twoquestions: How to correctly design adaptive strategies? How to improve the synchronizationperformance of WSNs from the perspective of controllability? We show that, in general,solutions obtained under the evolving dynamic model may be infeasible and, thus, resultsbased on blind use of coupling protocol model can be misleading. We propose a new conceptcalled “coupling synchronization” and present an innovative adaptive control scheme.Particularly, this controller has strong robustness against the coupling strength and topologicalstructure of the sensor network.(3) Put forward an adaptive control strategy of WSNs and optimization.In this paper, we investigated to an adaptive feedback control scheme for system, toimprove the network synchronization performance from the prospect of cybernetics. For thesynchronization performance of topology structure in WSNs, it often needs to adjust thestrength of coupling to achieve synchronization for WSNs. Adaptive synchronization controlwas proved to be an effective control strategy, the principle-basic of it is through adjust thestrength of coupling of nodes in the network, thus the behavior of time-varying nonlinear inthe entire network get effective control, and the dynamic system can achieve synchronizationdynamically. Moreover, this paper combines the method of feedback control; the stability ofthe network system has been optimized. Particularly, this controller has strong robustnessagainst the coupling strength and topological structure of the sensor network. Numericalsimulations show the effectiveness of the control scheme and the controllability of WSNs.