Research On Wireless Sensor Network Based Power Line Condition Monitoring Data Transmission

The transfer of power lines monitoring data in wireless sensor network (WSN) is of great significance to help power line maintenance crews obtain the condition parameters and restore service quickly after the disaster. However, under the backgrounds of different applications, the architectures and network protocols are also different. The data amount in power line monitoring oriented WSN with long chain structure is large, and the network resource constraints are relatively more serious. The network QoS requirements are different according to various types of data. In this paper, aiming at the special application of power line condition monitoring, the related issues of WSN based monitoring data transfer are studied.Aiming at the particularity of transmission line, the long chain WSN structure and network model are designed. Subsequently, the data transfer modes applicable to transmission line monitoring are designed. Combining with the specific application, the corresponding QoS (quality of service) requirements are put forward.A improved MAC protocol mechanism is proposed based on data transfer "wave". A new frame RTR (Ready TO Receive) as a token is used in the mechanism to trigger the state transition of the neighbor node, thus make the data stream transmitted in a controlled manner. This mechanism can improve the network throughput, make the MAC protocol lightweight and save network resources.The WSN used in power line monitoring are long chain structure, the bottleneck near the Sink node is more obvious. In view os this, A Sink nodes’cooperation mechanism is presented, and the Sink nodes from different WSNs are adjacently deployed. Adopting multimode network technology, the network loads are shunted and the network resources are rationally utilized. Thus the bottlenecks at the Sink node and its near several jump nodes are solved.To improve the traditional ant colony optimization algorithm, using cross-layer design method, a kind of low overhead ant colony routing algorithm (LOARA) is put forward. Three complementary strategies are used in LOARA to offer a low overhead solution. During the route discovery, a new broadcast mechanism, called the Controlled Neighbor Broadcast (CNB) is used. During the route maintenance phase, the overhead is further reduced by only using data packets to refresh the paths of active sessions. Finally, the route repair phase is also enhanced, by using a deep search procedure as a way of restricting the number of nodes used to recover a route.A dynamic game model based data forwarding method is proposed. The joint optimization of transmission reliability, node load and network congestion is use in the dynamic game model, and the Nash equilibrium of the game model is solved. The node’s rationality of preferences is analyzed, the game data forwarding algorithm (CSG) is designed. The success ratio of data transmission is improved by the algorithm and the node load is reduced at the same time.