Research On Heterogeneous Wireless Sensor Networks With High Quality Of Service Based On Complex Networks

Wireless sensor networks are a key technology in the sensing layer of the Internet of Things architecture.The application of the Internet of Things is expanding to all fields of human production and life,which also requires wireless sensor networks to provide higher quality of service.Wireless sensor networks are a kind of complex network formed by sensor nodes deployed in the target area according to the self-organization mechanism.The nodes in the network send the data of the monitoring area to the user through sensing processing and cooperative forwarding.The topology structure formed by sensor nodes according to the self-organization mechanism directly affects the performance of the network.The topology of the wireless sensor networks is complex and dynamic,so the self-organizing evolution mechanism and the performance of wireless sensor networks can be studied by complex network theory.This paper studies and analyzes the wireless sensor network model with high quality of service based on complex network theory.The main work includes the two aspects:Firstly,in view of the energy hole and reverse connection problem in the evolution of heterogeneous wireless sensor networks,an evolution model of heterogeneous wireless sensor networks based on the complex network fitness model and two self-organization mechanisms based on topological hop are proposed in this paper.In recent years,wireless sensor networks have gradually developed in the direction of large-scale and heterogeneous.In large-scale heterogeneous wireless sensor networks,the load and energy consumption of the network will increase sharply,causing the premature death of the high-load nodes near the sink,resulting in the emergence of energy holes.In addition,in the process of network evolution,the reverse connection between nodes will cause unnecessary energy consumption and excessive transmission delay.By considering the topological hop of networks,the two self-organization models proposed in this paper can effectively reduce the reverse connection and balance the load of nodes near the sink during the evolution of the network.Compared with the three classical evolution models,the model proposed in this paper can provide higher quality of service,such as longer lifetime,more balanced energy consumption,shorter path length and stronger robustness against deliberate attacks.Secondly,since the self-organizing evolution mechanism cannot fundamentally solve the problems of uneven energy consumption and transmission delay in the network,this paper generates a heterogeneous wireless sensor network with small-world attributes by adding shortcuts to the network according to the strategy.Small world network can effectively improve the problems of uneven energy consumption and transmission delay in wireless sensor networks.However,the high cost of shortcuts and management problems limit the proportion of shortcuts in the network,and how to use a small number of shortcuts to make networks have better performance becomes particularly important.We measure the importance of nodes based on degree and topology hop,and proposes a mechanism to add shortcuts.By preferentially adding shortcuts between important nodes and sink,the high-load nodes close to the sink in the network reduce energy consumption,and the sensor nodes far away from the sink decrease transmission delay.Simulation experiments show that,compared with the mechanism of adding shortcuts randomly,the strategy proposed in this paper can reduce the energy consumption,decrease the delay and improve the invulnerability of the network.