Motes in the Jungle: Lessons Learned from a Short-Term WSN Deployment in the Ecuador Cloud Forest

M. Ceriotti, M. Chini, A.L. Murphy, G.P. Picco, F. Cagnacci, Bryony Tolhurst

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

We study the characteristics of the communication links of a wireless sensor network in a tropical cloud forest in Ecuador, in the context of a wildlife monitoring application. Thick vegetation and high humidity are in principle a challenge for the IEEE 802.15.4 radio we employed. We performed experiments with stationary-only nodes as well as in combination with mobile ones. Due to logistics, all the experiments were performed in isolation by the biologists on our team. In addition to discussing the characteristics of links in this previously unstudied environment, we also discuss the lessons we learned from operating under peculiar constraints in a peculiar deployment scenario. 1
Original languageEnglish
Title of host publicationProceedings of the 4th international conference on Real-world wireless sensor networks
Place of PublicationBerlin Heidelberg
PublisherSpringer
Pages25-36
Number of pages12
Volume6511
ISBN (Electronic)9783642175206
ISBN (Print)9783642175190
DOIs
Publication statusPublished - 31 Dec 2010
EventProceedings of the 4th international conference on Real-world wireless sensor networks - Colombo, Sri Lanka, 16-17 December, 2010
Duration: 31 Dec 2010 → …

Publication series

NameLecture Notes in Computer Science

Conference

ConferenceProceedings of the 4th international conference on Real-world wireless sensor networks
Period31/12/10 → …

Bibliographical note

© 2010 Springer-Verlag

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    Ceriotti, M., Chini, M., Murphy, A. L., Picco, G. P., Cagnacci, F., & Tolhurst, B. (2010). Motes in the Jungle: Lessons Learned from a Short-Term WSN Deployment in the Ecuador Cloud Forest. In Proceedings of the 4th international conference on Real-world wireless sensor networks (Vol. 6511, pp. 25-36). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-642-17520-6_3