Abstract

The hierarchical distributed network topology combined with traditional wireless routing algorithm is adopted and improved by through introducing energy model of FSO sensor network to study the method of extend network nodes life in special occasion. The OEEMRP protocol (Optical Efficient Energy Multi-Path Routing Protocol) is also proposed. The protocol also can save the node energy and improve the network survival time. In the simulation, we compare and analyze performance difference of death node number and residual energy in LEACH and OEEMRP algorithm. The result shows that improved routing algorithm can make network node more intensive, and in the condition of large network size, the performance will be improved significantly. In a word, it has significant role in network communication.

Highlights

  • Communication technology has been developing toward the direction of increasing communication distance and system capacity

  • This paper introduces the Free-Space Optical Communication (FSO) network topology structure, constructs sensor network model, analyzes omni-directional smart antennas, adopts hierarchical distributed control network to construct network model

  • FSO network can be divided into point-to-point, point-to-multipoint and mesh network structure, and user can choose appropriate topology according to actual application

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Summary

Introduction

Communication technology has been developing toward the direction of increasing communication distance and system capacity. Free-Space Optical Communication (FSO) is the two-way communication technology, it uses laser beam as carrier to precede information interaction, including the audio and video information, and relies on the forms of point-to-point, point-to-multipoint, mulpoint-to-multipoint in atmosphere. It can interconnect with the traditional wired, wireless and optical fiber network, and form reliable, high data transmission rate network architecture. These networks can be applied in the high-speed information system, which integrates cloud computing and data processing about vessels, aircraft, and satellites and land-based

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