Improvement and application of LEACH Protocol based on Genetic Algorithm for WSN

Miao, Hongxia; Xiao, Xuanxuan; Qi, Bensheng; Wang, Kang

doi:10.1109/camad.2015.7390517

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…In ( 5), (0,1)   is the weight, set at 0.9 in this experiment based on study (Miao et al, 2016), M is the number of nodes in j th − cluster.…”

Section: Bat Algorithmmentioning

confidence: 99%

Improvement of LEACH based on K-means and Bat Algorithm

Quynh¹,

Viet²

2021

IJAERS

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A low-energy adaptive clustering hierarchy (LEACH) routing protocol has been proposed specifically for wireless sensor networks (WSNs). However, in LEACH protocol the criteria for clustering and selecting cluster heads (CHs) nodes were not mentioned. In this paper, we propose to improve the LEACH protocol by combining the use of K-means algorithm for clustering and bat algorithm (BA) to select nodes as CHs. The proposed routing algorithm, called BA-LEACH, is superior to other algorithms, namely PSO-LEACH, which using particle swarm optimization (PSO) to improve LEACH. Simulation analysis shows that the BA-LEACH can obviously reduce network energy consumption and optimize the lifetime of WSNs.

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“…In ( 5), (0,1)   is the weight, set at 0.9 in this experiment based on study (Miao et al, 2016), M is the number of nodes in j th − cluster.…”

Section: Bat Algorithmmentioning

confidence: 99%

Improvement of LEACH based on K-means and Bat Algorithm

Quynh¹,

Viet²

2021

IJAERS

View full text Add to dashboard Cite

show abstract

“…Genetic algorithms have been used for a wide variety of purposes in the sensor networks field. They have been used to find optimal parameters for routing protocols, such as LEACH [25], where it was used to determine weightings for combining multiple heuristics to determine which node became the next cluster head. The goal of this was to increase network lifetime by balancing energy loss between nodes more effectively.…”

Section: Genetic Algorithmsmentioning

confidence: 99%