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

Keoma Brun-Laguna (1) , Ana Laura Diedrichs (2) , Diego Dujovne (3) , Rémy Leone (1) , Xavier Vilajosana (4) , Thomas Watteyne (1)

1 EVA - Wireless Networking for Evolving & Adaptive Applications
2 UTN - Universidad Tecnológica Nacional [Sarmiento]
3 UDP - Universidad Diego Portales [Santiago - Chili]
4 UOC - Universitat Oberta de Catalunya [Barcelona]

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.

Mots clés: WSN; real-world; low-power; smartagriculture

Domaines: Réseaux et télécommunications [cs.NI]

Keoma Brun-Laguna, Ana Laura Diedrichs, Diego Dujovne, Rémy Leone, Xavier Vilajosana, et al.. (Not so) Intuitive Results from a Smart Agriculture Low-Power Wireless Mesh Deployment. CHANTS'16, Sep 2016, New York City, United States. ⟨10.1145/2979683.2979696⟩. ⟨hal-01361333⟩