LEACH-CR: energy saving hierarchical network protocol based on low-energy adaptive clustering hierarchy for wireless sensor networks

Wireless Sensor Network consists of hundreds to thousands of tiny sensor nodes deployed in the large field of the target phenomenon. Sensor nodes have advantages for its size, multifunctional, and inexpensive features; unfortunately, the resources are limited in terms of memory, computational, and i...

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Bibliographic Details
Main Authors: Zamry, N. F., Anazida, Z., Rassam, M. A.
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:http://eprints.utm.my/id/eprint/95997/1/AnazidaZainal2021_LEACHCREnergySavingHierarchical.pdf
http://eprints.utm.my/id/eprint/95997/
http://dx.doi.org/10.1109/CRC50527.2021.9392488
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Summary:Wireless Sensor Network consists of hundreds to thousands of tiny sensor nodes deployed in the large field of the target phenomenon. Sensor nodes have advantages for its size, multifunctional, and inexpensive features; unfortunately, the resources are limited in terms of memory, computational, and in energy, especially. Network transmission between nodes and base station (BS) needs to be carefully designed to prolong the network life cycle. As the data transmission is energy consuming compared to data processing, designing sensor nodes into hierarchical network architecture is preferable because it can limit the network transmission. LEACH is one of the hierarchical network protocols known for simple and energy saving protocols. There are lots of modification made since LEACH was introduced for more energy efficient purposed. In this paper, hybridization of LEACH-C and LEACH-R and the modification have been presented for a more energy saving LEACH called LEACH-CR. Experimental result was compared with previous LEACH variant and showed to has advantages over the existing LEACH protocols in terms of energy consumption, dead/alive nodes, and the packet sent to Base Station. The result reflects that the consideration made for residual energy to select the cluster head and proximity transmission lead to a better energy consumption in the network.