Abstract

In accordance with the features of variety and disparity of traffic information, using wireless sensor network to monitor traffic environment, this paper proposes an optimization algorithm of applying wireless sensor to monitor traffic environment. In this paper, to optimize the coverage, we analyze the irregularity of network sensing areas based on environmental factors and propose a wireless sensor network optimization algorithm. According to the irregularity of network node sensing areas, we build an irregular network coverage model, divide the node monitoring area to improve the network coverage and make corrections to the coverage according to the network coverage connectivity and other features. The simulation test proves that the method proposed in this paper can avoid too many redundant nodes - it only requires a reasonable number of network nodes. This will reduce network energy costs and increase network connectivity without affecting the coverage, thus improving the network performance. the algorithm can satisfy the requirements of real-time acquisition, processing and remote supervision of traffic information.

Highlights

  • Wireless sensor network has certain abilities of aware computing and communication, it has been widely used in different areas, such as agriculture, military, medical treatment and transportation, etc

  • The sensing range of the model is composed of a circular sector with a variable central angle and a variable sensing radius, depending on the residual energy information exchange between nodes, but the model does not make corrections to the coverage according to the network coverage connectivity and other features

  • Irregular sensor model and proposes a coverage strategy for the wireless sensor network based on irregular sensing areas, which divides the node monitoring area to improve the network coverage and makes corrections to the coverage according to the network coverage connectivity and other features

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Summary

Introduction

Wireless sensor network has certain abilities of aware computing and communication, it has been widely used in different areas, such as agriculture, military, medical treatment and transportation, etc. Irregular sensor model and proposes a coverage strategy for the wireless sensor network based on irregular sensing areas, which divides the node monitoring area to improve the network coverage and makes corrections to the coverage according to the network coverage connectivity and other features. This strategy can minimize the redundant coverage areas and dead zones in the network, reduce the overall energy consumption of the network and increase network connectivity

Network Model
Definition and description
Optimization strategy
Test and analysis
Conclusions
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