Research On Energy Saving Algorithms Based On Mobile Sink Nodes In Wireless Sensor Networks

With the rapid development of cloud computing and Internet of Things,wireless sensor networks(WSN)have received widespread attention from scholars at home and abroad.Wireless sensor network is composed of innumerable sensing nodes and sink nodes,which completes the data collection of monitoring targets.Wireless sensor network is a kind of ad hoc network,which has a special way of networking,so it has a strong scalability.Therefore,wireless sensor networks have been widely used in military fields,transportation,climate and environment monitoring,geological hazard monitoring,forest fire risk early warning and so on.Sensor nodes in wireless sensor networks are powered by batteries.Due to the large number of sensor nodes and the particularity of the whole network deployment location,it is impossible to achieve artificial battery replacement.Therefore,in the long-term work process,an important issue of wireless sensor networks-"energy loss" has also emerged.Traditional static wireless sensor networks have too many limitations,such as low energy consumption of peripheral sensor nodes,high energy consumption of sensor nodes near the sink node,and unbalanced energy consumption among sensor nodes,which seriously affects the lifetime of the whole wireless sensor network.In recent years,researchers began to introduce dynamic elements into wireless sensor networks.The introduction of mobile sink nodes effectively avoids the phenomena of "hot nodes" and "energy holes",enhances the connectivity of the network and also improves the flexibility of the network.Therefore,it is very important to design an energy-saving algorithm based on mobile sink node.The main work of this paper is as follows:(1)Combining the advantages of traditional static network and dynamic network,an energy-saving scheme combining static sink node with mobile sink node is proposed.The system model and energy consumption model are constructed,and in this model,the static Sink node is located in the center of the system model,which receives the data of the sensor nodes in the static region.The mobile Sink node moves uniformly around the model to receive the data of the sensor nodes in the dynamic region.The reasonable area of static region and dynamic region is obtained by mathematical analysis.Finally,the network lifetime,network energy consumption per round and transmission delay are simulated and compared with those using only static Sink and mobile Sink.(2)Abandoning traditional wireless sensor networks,energy consumption analysis for mobile dynamic wireless sensor networks.An area contribution value and contribution allocation rule are proposed to determine the access area of mobile sink node.Next,the visiting representative points are planned in the visiting area.The wolf swarm algorithm is introduced to simulate the wolf swarm activities in the biological world and abstract out three intelligent behaviors: wandering,summoning and besieging,so as to plan the mobile path of mobile sink node.Finally,the running path of mobile sink node is simulated,the energy-saving effect of the scheme is tested and the experimental results are analyzed.