On the accuracy of MANET simulators
Proceedings of the second ACM international workshop on Principles of mobile computing
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Recursive Position Estimation in Sensor Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Understanding packet delivery performance in dense wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
MANET simulation studies: the incredibles
ACM SIGMOBILE Mobile Computing and Communications Review - Special Issue on Medium Access and Call Admission Control Algorithms for Next Generation Wireless Networks.: The Digital Library version of this issue has a corrected special issue title compared to the one in the print version of the issue.
Information fusion for wireless sensor networks: Methods, models, and classifications
ACM Computing Surveys (CSUR)
Multihop Ad Hoc Networking: The Theory
IEEE Communications Magazine
Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems
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Wireless sensor networks (WSNs) have a great potential to serve as a monitoring tool for several applications. In particular, environmental monitoring is a leading flag for WSNs, which can provide significant environmental data for Ecology applications. More specifically, rainforests face several ecological challenges. In this case, WSNs may be used as a supporting tool for preserving and conserving the flora and fauna of such environments. However, we still need practical experiments that help us understanding how data communication is affected by environmental conditions, such as forest density, high humidity, and extreme temperature variations. In this work, we present a set of experiments that assess the communication performance in rainforests. Results show that we still need technological advances before using WSN platforms for large-scale applications in such environments. Our experiments show that the communication range of a WSN, deployed in a dense forest, is reduced by 78%, compared to other environments.