Application Research Of WSN Routing Protocol In Oilfield Operation Area Based On Ant Colony Algorithm

At present,Wireless Sensor Network(WSN)has gradually become a new information acquisition technology,which has broad prospects in the fields of national defence and military,health care,environmental monitoring and traffic monitoring.Wireless sensor network is the network which transmits information of the various environmental and monitoring objects to the observer in real time within the wireless sensor network coverage area.The routing protocol is to find such an optimal path which transmits the monitoring data from source node to the sink-node.So the design of routing protocols has a vital role for the performance of wireless sensor network.Because the energy of sensor nodes is limited,how to reduce energy consumption and prolong the life cycle of network has always been a hot issue in wireless sensor network researches.The problem wireless sensor network routing protocol needs to solve is that how to realize the network energy balance and reduce energy consumption,which can improve the energy efficiency of wireless sensor network and extend the network lifetime.In order to solve the energy consumption problem of nodes in wireless sensor network and improve the life performance of node sensors,this thesis proposes a WSN energy efficient routing algorithm based on improved ant colony algorithm.First of all,according to a certain oil field's environmental factor,the wireless technology used in oil field will be analyzed to choose suitable wireless transmission technology and then analyze the current research status of the wireless sensor network and ant colony algorithm.Secondly,combining the actual application environment of X oil field to compare and analyze the advantages and disadvantages of the different routing algorithms,proper routing algorithm can be chose.)Moreover,this thesis introduces the theoretical basis of the proposed algorithm the theoretical basis of the algorithm proposed in this dissertation will be introduced..In addition,the algorithm presented in this thesis is described in detail.The algorithm firstly uses K-Means algorithm to classify nodes in a certain region;next,according to the improved ant colony algorithm calculates the probability and determine the next moving target.then the probability and next moving target will be calculate and determined according to the improved ant colony algorithm;finally the data will be transferred according to pheromone.In the ideal condition,the algorithm proposed in this dissertation will be simulated,which found that the proposed algorithm is better than the basic ant colony algorithm by comparing with other algorithms.Finally,by analyzing the network topology and data source of oilfield operation area,this algorithm can be applied to oilfield to prove its practicability.