۱- Introduction

۲- Method

۳- Experiment

۴- Results

۵- Discussion

۶- Conclusion

References

Abstract

With the realization of the Internet of Things from theory to practical application, the work of ensuring high reliability of the system has become the key to system design, and it is also the obstacle to further promotion of the Internet of Things. This paper makes an in-depth study on the Internet of Things transmission and network reliability in complex environments. In this paper, we use the artificial bee colony algorithm to get the shortest path analysis of each cluster head node. The simulation results show that the algorithm proposed in this paper can effectively reduce the amount of data transmitted to sink by the sensor nodes through cluster head node fusion, improve the efficiency of data collection, energy consumption balance and network reliability, and extend the network life cycle. In addition, the index model of Internet of things reliability index system is established, and the comprehensive evaluation method of using the index is explained. The simulation results show that the proposed algorithm reduces the amount of data transmission and network energy consumption, prolongs the network life cycle, improves the efficiency of data fusion and data transmission reliability. Aodv-sms (abc-pso) routing recovery protocol shows that compared with other routing recovery strategies, packet transmission delay time is less, and the gap between them is more and more large; aiming at the end-to-end reliability and the network capacity, the paper focuses on the analysis of the impact of the change of communication link on the network capacity under the mobile node.

Introduction

In recent years, the scale of the network has expanded from one laboratory to one building to one, and there has been a strong thing. The Internet of Things system are also exposed: the working environment of the Internet of Things system is complex, and the stability of the communication link is lacking. The Internet of Things terminals are widely distributed, facing the shortcomings of terminal functions and vulnerable to attack. At this stage, it is the initial stage of the development of Internet of Things at home and abroad. The main research hotspots of many research teams focus on the following aspects: the formulation of relevant standards, the breakthrough of key technologies, and the exploration of commercial applications. Razzaque MA [1] proposed that the Internet of Things (IoT) envisions a future in which digital and physical objects or objects (eg, smartphones, televisions, cars) can be connected through appropriate information and communication technologies to achieve a range of applications. Perera C [2] surveyed more than 100 IoT smart solutions on the market and studied them carefully to determine the technologies, functions and applications used. Bertino E [3] found that based on a general description of the smart home management model of the overall framework, Stojkoska B L R [4] discusses current and future challenges of IoT-based solutions. Perera C [5] studied a variety of popular and innovative IoT solutions, using a framework built around well-known context-aware computing theory to evaluate these IoT solutions. Wang Yunan [6] realized the data recovery by using the data model of the IoT wireless sensor network with time-space correlation to perform the sparse sampling and matrix-filled approximate reconstruction techniques of the matrix composed of data samples. Xue Yuanfei [7] explored the application and design of intelligent vehicle management system for Internet of Things technology through the existing problems in the intelligent management of vehicles and the analysis of requirements.