Smart Energy Control Internet of Things based Agriculture Clustered Scheme for Smart Farming

The era of smart farming has already begun, and its consequences for society and environment are expected to be massive. In this situation, Internet of Things (IoT) technologies have become a key route towards new agricultural practices. IoT nodes detect and track physical or environmental condition...

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Bibliographic Details
Published in:International journal of advanced computer science & applications 2020, Vol.11 (3)
Main Authors: Awan, Sabir Hussain, Ahmed, Sheeraz, Najam, Zeeshan, Yousaf, Muhammad, Nawaz, Asif, Fahad, Muhammad, Tayyab, Muhammad, Ishtiaq, Atif
Format: Article
Language:English
Subjects:
Agricultural practices
Clustering
Data transmission
Digital agriculture
Energy consumption
Farming
Internet of Things
Nodes
Online Access:Get full text
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Summary:The era of smart farming has already begun, and its consequences for society and environment are expected to be massive. In this situation, Internet of Things (IoT) technologies have become a key route towards new agricultural practices. IoT nodes detect and track physical or environmental conditions and transmit data through multihop routing to their base station. However, these IoT nodes have come up with energy constraints and complex routing processes due to limited capacities. Hence, lead to data transmission failure and delay in the fields of IoT-based farming. Because of these limitations, the IoT nodes distant from the base station are dependent on their cluster heads (CHs), causing additional load on CHs leading to high energy consumption and shortening their lifetime. To address these issues, this research proposes a smart energy control IoT based agriculture clustered scheme to reduce load on CHs by introducing a novel clustering scheme. Simulations are conducted for validation and comparison is made with LEACH protocol in Agriculture and results show that proposed scheme has much lower energy consumption and longer network life as compared to its counterparts.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2020.0110320