Abstract

To solve the defect of traditional node deployment strategy, the improved fruit fly algorithm was combined with wireless sensor network. The optimization of network coverage was implemented. Based on a new type of intelligent algorithm, the change step of fruit fly optimization algorithm (CSFOA)was proposed. At the same time, the mathematical modeling of two network models was carried out respectively. The grid coverage model was used. The network coverage and redundancy were transformed into corresponding mathematical variables by means of grid partition.Among them, the maximum effective radius of sensor nodes was fixed in mobile node wireless sensor network. The location of nodes was randomly cast. The location of sensor nodes was placed in fixed position nodes. The effective radius of nodes can be changed dynamically.Finally, combined with the corresponding network model, the improved algorithm was applied to wireless sensor network.The combination of the optimal solution of the node position and the perceptual radius was found through the algorithm. The maximum network coverage was achieved.The two models were simulated and verified. The results showed that the improved algorithm was effective and superior to the coverage optimization of wireless sensor networks.

Highlights

  • In recent years, the Internet of Things, cloud computing and big data have developed rapidly

  • In view of the above limitations, the change step of fruit fly optimization algorithm (CSFOA) proposed in this paper divides the search into several cycles

  • Compared with DS-FOA, improved virtual force particle swarm optimization (VFPSO), improved bat algorithm (BA) and improved fish algorithm, the CSFOA algorithm increased by 2.7%, 0.23%, 8.98% and 1.94% respectively

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Summary

Introduction

The Internet of Things, cloud computing and big data have developed rapidly. The Internet of things is the key technology of the information interaction between the future reality and the virtual. It is the key research direction to realize the "information society". The Internet of Things mainly has three communication sensing technologies, namely, intelligent sensing, identification technology and pervasive computing. As a core technology of Internet of Things, Wireless Sensor Network (WSN) is attracting much attention. The wireless sensor has three functions, such as information collection, processing and transmission. They correspond to the three modern basic information technologies, namely, sensor technology, computer. The improvement of network coverage, the reduction of network energy consumption and the simplification of network model are the basis of the development of wireless sensor technology

Literature review
Wireless sensor network
Fruit fly algorithm
Change the Step of FOA
Node model of wireless sensor network
Optimization of wireless sensor network coverage for mobile nodes
Optimization of wireless sensor network coverage for fixed position nodes
Findings
Conclusions

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