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WSN Optimization Algorithm for Traffic Environmental Monitoring
- Source :
- International Journal of Online Engineering (iJOE), Vol 14, Iss 12, Pp 72-83 (2018)
- Publication Year :
- 2018
- Publisher :
- International Association of Online Engineering (IAOE), 2018.
-
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.
- Subjects :
- traffic information
lcsh:T58.5-58.64
Optimization algorithm
Simulation test
lcsh:T
lcsh:Information technology
business.industry
Computer science
Node (networking)
Real-time computing
General Engineering
lcsh:Technology
wireless sensor network
environmental factors
real-time acquisition
Environmental monitoring
Computer Science::Networking and Internet Architecture
Wireless
Network performance
sensing radius
business
Wireless sensor network
Energy (signal processing)
Subjects
Details
- ISSN :
- 26268493
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- International Journal of Online and Biomedical Engineering (iJOE)
- Accession number :
- edsair.doi.dedup.....536d1e7aad4846b680540fa4a75638bb
- Full Text :
- https://doi.org/10.3991/ijoe.v14i12.9495