Research On Remote Monitoring And Energy Saving Routing Algorithm Of Intelligent Obstacle Field

Intelligent obstacle field is the inevitable trend of the modern minefield under the development of information technology.It is essentially a wireless sensor network(WSN).Accurate positioning and remote monitoring can be achieved through the sharing of information and interaction of data between nodes.In the system of the WSN,wireless communication technology and monitoring platform of WSN are two key technology of the whole system.The main contribution of this paper includes the two following aspects:1)Research on a new energy saving routing protocol of the wireless network in intelligent obstacle field:According to the actual scenarios of the intelligent obstacle field,the battery replacement and repetitive charging are almost impossible,so the energy consumption is an important factor that affects the lifetime of the wireless network.This paper presents an ant-based routing algorithm demanding on energy(ARADE),to improve two situations including short lifetime caused by unbalanced energy distribution and slow convergence speed of the ant colony algorithm.The inversed pheromone table which stores routing information simplifies the data structure of the routing request packet.The residual energy of the node,energy consumption of the path and number of hops are normalized to a parameter as a performance evaluation value,which can balance the residual energy of the entire network node.the self-iteration used during the iteration can accelerate the convergence speed of the algorithm.The simulation of the experiment is on the NS-2 platform.Its performance result will be compared with AODV.2)the design and implementation of the monitoring platform software in intelligent obstacle fieldThe purpose of the monitoring platform software in intelligent obstacle field is to receive the status information and GPS location information of all the nodes in the wireless network that is forwarded by the coordinator.It then analyzes the information and display clearly in two forms of the texts and images.The observer can control the designated nodes in the network through the software according to the real-time situation.The paper detailed introduces the entire software platform from the development to the test.Besides,the interface of the software is very clear and easy to operate and the system has a strong fault tolerance.The whole research of the paper is based on the theory,then develop new solutions and the solutions have been verified by experiments.It has the double guiding significance of the theory and practice to the development of the intelligent obstacle field.