Study On Simulation On Wireless Sensor Networks' Topology Control Algorithm

WSN(Wireless Sensor Network) is a new network measure and management technology. It is an intelligent network application which can implement data collection, gathering and transmission by itself. WSN closely connect logically information world with genuine physical world, so as to implementing the "compute enywhere" model. WSN has expansive application foreground in national defence and every field of country economic.WSN is intelligent autonomy measure and management system which is composed of numberless and everywhere tiny sensor nodes that has the ability of communication and compute. Sensor nodes are disseminated in fields without guardianship and implement designed assignments. WSN is a distributed system which is a large-scale, without guardianship and resource limited. It adopts multi-hop and opposite communication mode, and has self-organize as well as self-adapt attributes.Large-scale data gathering networks must logically self-organize in a topology suitable for many-to-one traffic flow. An efficient method is necessary to extract topology information that can be used in management and control of networks. It is important for such a topology discovery algorithm to adhere to the resource constraints of bandwidth and energy imposed on sensor networks.During the research and designing of my task, I referenced a lot of Chinese and English literatures, studied some previous algorithms. The same algorithm may represent obvious difference under different environment. So designing algorithms that is the same with various kinds of environment is not advisable. Recently most of WSN's node is fixation. In this text I took into the scenario of WSN nodes is fixation, which characteristics of energy saving and topology structure stabilization in WSN, concerning the initial TopDisc algorithm didn't reference the WSN nodes' invalidation because of energy exhaustion, and designed an algorithm on the base of TopDisc and made grate improvement to make it more stabilization and energy saving, then simulated the algorithm by the prevalent software called OPNET. By analyzing the results, it is proved that new algorithm bring forth more energy saving and stabilization than initial algorithm. At the end of my thesis I designed the future researching target of TopDisc topology control algorithm.