Research On Agent-based Self-organization Evolution Mechanism Of Wireless Sensor Networks

In Wireless Sensor Networks (WSN), Sensor nodes have constrained battery energy, communication ability and computer skills, it is important and difficult to investigate WSN that how to use self-configuration to cooperate among sensor nodes and then to play their role in overall, and to design energy efficient methods such as topology and routing protocol to longer the lifetime of WSN. The process of the self-adaptively adjust and change for WSN to achieve the target is called evolution mechanism. In this paper, we discussed self-organization of WSN, and then proposed two kinds of self-organization evolution mechanism for WSN based on Agent.It can be seen from the existing mechanism of self-organization, self-organizing wireless sensor networks is mainly implemented by routing protocol or topology control. This dissertation using a complex system evolution model——Cellular Automata(CA), designing evolution rules. Firstly we proposed a mechanism to build shortest path between sensor nodes and sink node. Every node changes its own state according to the latest state of neighbors and itself and using the process of changing state to find the shortest path. And using destiny control node distribution, improve the problem of imbalance flow in flat routing of network. Secondly we proposed a mechanism for sensor nodes'adaptive scheduling. Using the interaction among sensor nodes to control the sleeping rate of WSN, to achieve lower energy consumption and longer lifetime not sacrifice the coverage of the network.It can be seen from this dissertation that the proposed mechanisms can mainly use in large-scale network which has high quality in self-organization, and also be hoped to help exploring new self-organization evolution mechanism.