Stacklberg Game-theoretic Topology Control And Implement For Mobile Underwater Sensor Networks

For event-driven underwater wireless sensor networks(UWSNs),a location information makes other information collected by the sensor node more valuable.In anchor-based location schemes,the anchor nodes are the nodes for service.The fewer the anchor nodes,the higher the economic efficiency.However,the existing state-of-the-art models have limited localization performances in the environment with few anchor nodes and moving nodes.The two main ways to improve the localization performance are improving the localization algorithm itself and increasing the quantity of localization information.We improve the localization coverage and the energy efficiency through increasing the quantity of localization information,which can be down by topology control.In this thesis,we propose a topology control model for opportunistic localization in UWSNs called new Opportunistic Localization by Topology Control(n OLTC).Its twin dynamic weight version is called new dynamic Opportunistic Localization by Topology Control(nd OLTC).The innovations of this thesis are:(1)Forge an economic game model(Single-Leader-Multi-Follower Stackelberg game)into the topology control for localization.We design a whole process of communication including message format for localization.Because Stackelberg game model matches the process of collecting information and adjusting the transmission power when the localization process behaving,the localization process will approach the finest solution(Nash equilibrium),which will lead the localization performances improved.(2)Based on the game mechanism,we add the two-hop information mechanism.Through sacrificing a part of benefit of anchor nodes,the energy consumption fo sensor nodes drops intensively.the nature of adding second hop information mechanism is optimization of the resources.(3)In order to make benefit functions more proper.We consider more information,such as energy consumption and second hop information,when designing the benefit functions for anchor and sensor nodes.Usually,in UWSNs,sensor nodes carry limited energy and are difficult to recharge themselves.Therefore,we add energy factor into the benefit function of sensor nodes.This matches the real feature of UWSNs.In the experiment working,in order to do the comparing experiment,except realizing n OLTC and nd OLTC by NS-3,we also realize OLTC and its two sub-models.our experiment environment imitates the experiment environment of the article which proposes OLTC model.In other words,it is an environment with few anchor nodes and moving nodes.In such environment,the localization performance of OLTC model has surpassed 3DUL and DNRL model.And besides the models that we proposed achieve slightly higher coverage than that in OLTC,the total energy consumption and sensor node energy consumption in n OLTC and nd OLTC are much less than that in OLTC.They account for only 1/3 and 1/5 of OLTC.