Research On Wireless Sensor Network Interconnection Mechanism And Typical Hierarchical Routing Algorithm

The wireless sensor network is composed of a large number of sensor nodes with limited resources,and plays an important role in many fields.It generally runs a private protocol different from the Internet,and has different characteristics and requirements from the Internet.This leads to the inability of the wireless sensor network.Communicate directly with the Internet.With the continuous development of the Internet of Things,how to interconnect wireless sensor networks and the Internet has become a research hotspot.On the other hand,the resource limitations of nodes in wireless sensor networks,especially the high energy efficiency requirements of hierarchical routing algorithms,how to improve routing algorithms and extend networrk lifetime has been the focus of wireless sensor network research.This paper aims at the problem that the wireless sensor network and the interconnected network cannot be interconnected.After analyzing the existing three interconnection mechanisms,a service-oriented interconnection mechanism model architecture based on application gateways is proposed.To this architecture,application gateways can be system and The services provided by users were discussed in detail,such as forwarding data and user authentication.On this basis,in the context of smart homes,this interconnection mechanism architecture is applied to provide services such as environmental monitoring and node control.LEACH is a typical hierarchical routing algorithm in wireless sensor networks.Although it has many advantages,it does not consider the location and other factors when selecting the cluster head,so that the cluster head can be a node that meets the condition at any location.According to theoretical analysis,it is found that in the LEACH algorithm,the distance between the member nodes of the cluster and the cluster head is much greater than the distance to the base station.This extreme situation will aggravate the energy consumption of the network.Nodes that have a greater impact on energy consumption were found.For these nodes,they are filtered out during clustering so that they do not become member nodes of the cluster,so as to achieve the purpose of slowing down energy consumption.The comparative simulation shows that the improved method effectively prolongs the network survival time.