The Design And Implementation Of Environment Adaptive Mechanism In Sensor Network

As a new technology wireless sensor network is now spreading over our life, those including environment monitoring to military investigation and disaster ambulance to space exploration, it has shown its great potential for development. But at the same time we demand the network's ability be more and more powerful to adapt to a variety of increasingly complex applications, and one of the most important thing is that the network can regulate itself when environment changes, because the sensor network is generally deploying in the deserted areas hard to reach. When the environment changes violently, it is time-consuming and inefficient to adjust the structure and tasks of the network by man. So we require the network to adapt the environment when needed, such as make sufficient reconfiguration in time to handle the changes in the external environment.There a variety of sensor network operating systems to support reconfiguration at present, they have their own efficiency and flexibility of its advantages, this paper select the SOS operating system as the experiment platform to build the environment adaptive system. As the requirement of the adaptive characteristics to the environment, there are a variety of methods can be used, including the machine learning technology of artificial intelligence and reflective technology. Taking into account that the current mote's computing ability and the power supply is also very limited, this paper selects reflection technology to meet the requirements of self-adaptive to the environment.By studying the mechanism for reflection technique and theory, this paper designs both models of single-nodes and distribute network with the self-adaptive ability, at the same time a detailed analysis of the module and the improvement of the module management has been shown. At the end of this paper, experimental verification is listed to show the feasibility and correctness of the model.