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Author:

Li, Hao (Li, Hao.) | Lin, Zhuying (Lin, Zhuying.)

Indexed by:

CPCI-S EI Scopus

Abstract:

Because of the extensity and complexity in forest environment, the question about how to locate wireless sensor network node in monitoring on forest environment become the most important focus in wisdom forest built project. In present study, the main consideration is the complexity of the forest environment and energy consumption in the transmission of wireless sensor data. The purpose is to do the widest area which wireless sensor networks can maximize coverage. The method of Particle swarm optitnization(PSO) was used to get the results of location of wireless sensor network node in Forest environment. Simulation results showed that it is useful to use Particle swarm optimization(PSO) which can get optimum solution on wireless sensor network employed. PSO algorithm to solve the problem of wireless sensor network deployment is feasible.

Keyword:

Particle Swarm Optimization location forest environment Wireless sensor networks

Author Community:

  • [ 1 ] [Li, Hao]Beijing Univ Technol, Informat Dept, Beijing 100124, Peoples R China
  • [ 2 ] [Lin, Zhuying]Beijing Univ Technol, Informat Dept, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Li, Hao]Beijing Univ Technol, Informat Dept, Beijing 100124, Peoples R China

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Source :

ADVANCES IN INFORMATION AND COMMUNICATION TECHNOLOGY

ISSN: 1877-0509

Year: 2017

Volume: 107

Page: 697-704

Language: English

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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