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A framework of optimizing the deployment of IoT for precision agriculture industry

Chehri Abdellah, Chaibi Hasna, Saadane Rachid, Hakem Nadir et Wahbi Mohamed. (2020). A framework of optimizing the deployment of IoT for precision agriculture industry. Procedia Computer Science, 176, p. 2414-2422.

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URL officielle: http://dx.doi.org/doi:10.1016/j.procs.2020.09.312

Résumé

The massive growth of wireless communications in recent years is mostly due to new connectivity demands and advances in technology development of low power) transceivers. An example of the unique demands is the increasing exchange of data in Internet services, which has led to wireless network deployment for data transmissions. The coordination of the IoT devices, smart systems, and agriculture can contribute directly to the development of the farmer’s practices by building their farm more intelligent and digital. However, enhancing farming practices requires inspecting farm equipment and farmer’s experiences, which can be analyzed through the interconnectedness of IoT objects to collect farm data over the Internet to launch smart digital agriculture. It is challenging to control all farming processes (especially in real-time), this remaining as the main limitation of traditional farming. In this work, we focus on how wireless sensors can play a vital role in smart farm systems and allow processing the large amount of data generated in batches or real-time to analyze it, retrieve insights from it, and create a Smart Digital Farm. This paper proposes hierarchical-logic mapping and deployment algorithms to tackle the problem of poor network connectivity and sensing coverage in random IoT deployment.

Type de document:Article publié dans une revue avec comité d'évaluation
Volume:176
Pages:p. 2414-2422
Version évaluée par les pairs:Oui
Date:2020
Sujets:Sciences naturelles et génie > Génie
Sciences naturelles et génie > Génie > Génie informatique et génie logiciel
Sciences naturelles et génie > Sciences appliquées
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées > Module d'ingénierie
Mots-clés:IoT, wireless sensor networks, agriculture industry, efficient deployment, optimization, réseaux de capteurs sans fil, industrie agricole, déploiement efficace, optimisation
Déposé le:28 avr. 2021 22:18
Dernière modification:28 avr. 2021 22:18
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