INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Wireless sensor networks have several sensors compatible with a limited capacity battery. The network hierarchy can be selected according to the required applications, such as bulk order. Group leaders play a key role in the assembly of a wireless sensor network. Particle Swarm Improvement (PSO) is a swarm-based intelligence method to identify the best solution by flock behavior. PSO is based on the movement and intelligence of swarms. The social learning factor can achieve a better convergence speed and the particle redefinition mechanism reduces the chances of falling to the local maximum. Optimization is a mathematical technique used to know the maximum or minimum functions in some possible areas. A variety of optimization techniques are involved in the best solutions. Particle Swarm Optimization (PSO) is a relatively recent, topical and robust optimization method that is widely used to detect a global optimal solution within a complex search space. The proposed approach can give the best results as demonstrated in the simulation results.
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"Implementation of PSO in Wireless Sensor Network ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 8, page no.278 - 283, August-2019, Available :http://www.ijsdr.org/papers/IJSDR1908045.pdf
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Publication Details:
Published Paper ID: IJSDR1908045
Registration ID:190918
Published In: Volume 4 Issue 8, August-2019
DOI (Digital Object Identifier):
Page No: 278 - 283
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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