(Not so) Intuitive Results from a Smart Agriculture Low-Power Wireless Mesh Deployment

Autor: Thomas Watteyne, Rémy Léone, Diego Dujovne, Xavier Vilajosana, Keoma Brun-Laguna, Ana Diedrichs
Přispěvatelé: Wireless Networking for Evolving & Adaptive Applications (EVA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Universidad Tecnológica Nacional [Sarmiento] (UTN), Universidad Diego Portales [Santiago] (UDP), Universitat Oberta de Catalunya [Barcelona] (UOC)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: CHANTS'16
CHANTS'16, Sep 2016, New York City, United States. ⟨10.1145/2979683.2979696⟩
CHANTS@MOBICOM
DOI: 10.1145/2979683.2979696⟩
Popis: International audience; A 21-node low-power wireless mesh network is deployed in a peach orchard. The network serves as a frost event prediction system. On top of sensor values, devices also report network statistics. In 3 months of operations, the network has produced over 4 million temperature values, and over 350,000 network statistics. This paper presents an in-depth analysis of the statistics, in order to precisely understand the performance of the network. Nodes in the network exhibit an expected lifetime between 4 and 16 years, with an end-to-end reliability of 100%. We show how – contrary to popular belief – wireless links are symmetric. Thanks to the use of Time Slotted Channel Hopping (TSCH), the network topology is very stable, with ≤5 link changes per day in the entire network.
Databáze: OpenAIRE