Improvement for LEACH Algorithm in Wireless Sensor Network

Xia, Shiying; Tan, Mao; Zhao, Zhiguo; Xiang, Ting

doi:10.1007/978-981-10-2053-7_26

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…For some problems of the LEACH algorithm, the LEACH algorithm is improved in [19] from three aspects of the optimal number of the cluster head and uniform distribution and many jump communication, the improved algorithm through the simulation tests show that network node energy has been obviously saved.…”

Section: Related Workmentioning

confidence: 99%

An Improved Clustering Using by Likely Attributable Function and Informed Selection in WSN for Science of Management and Engineering

Nia¹,

Omidvar

Azarm

2021

J. Mod. Mech. Eng. Technol.

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Wireless sensors networks (WSNs) are traditionally composed of large number of tiny homogenous sensors nodes connected through a wireless network that gather data to be treated locally or relayed to the sink node through multi-hop wireless transmission. The low-energy adaptive clustering hierarchy (LEACH) protocol is one of the Famous protocols used in the wireless sensor networks (WSNs). The LEACH protocol in wireless sensor network suffers from many Bugs and many researchers proposed different methods to mitigate them. In this paper, we propose two ideas in a format for improving leach protocol. For Cluster head selection we used a Likely Attributable Function that in this function used from a factor. This factor that we called the informed selection factor helps to farther nodes not selection for cluster head. This significantly decreases the energy consumption and increases the lifetime of associated nodes. Simulation is conducted in using MATLAB results are analyzed for energy consumption.

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Section: Related Workmentioning

confidence: 99%