Research On Wireless Network Routing Algorithm And Evolutionary Game For Forest Monitoring System

Forests are valuable resources on Earth and monitoring them has important ecological,social and economic implications.In recent years,fires have occurred,using effective techniques to obtain environmental information in forests and monitoring forests so that some disasters can be prevented.The application of wireless sensor network technology(WSN)to fire monitoring has obvious advantages.We can randomly collect a large number of sensor nodes in the area to be monitored,collect the required data information in real time,and transmit it to the base station through single-hop or multi-hop mode.The fire control center can timely and accurately control the forest fire according to the processed information,and dispatch the rescue personnel in real time to minimize the damage caused by the fire.Firstly,based on the characteristics of the forest monitoring system,this paper defines a method based on the initial energy and distribution position of the sensor node to determine the coverage and data transmission path of the node based on the shortcomings of the DEEC routing algorithm proposed by the predecessors.Then the game theory is introduced into the selection of the transmission power of the wireless sensor node,and the transmission path with higher utility function is selected for routing,and the evolution process of the node data transmission path selection is optimized,thereby improving the engineering reliability of the overall connectivity of the network.Reduce the purpose of energy consumption.Finally,according to the user's needs,the satisfaction function of the wireless sensor network is established.Under the premise of ensuring the network coverage and connectivity,the value of the weight in the function is adjusted to reduce the deviation of the path selection.The simulation results show that this method can better balance the energy consumption of nodes and prolong the life cycle of the network.