Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Report from the Field: Results from an Agricultural Wireless Sensor Network
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
RANBAR: RANSAC-based resilient aggregation in sensor networks
Proceedings of the fourth ACM workshop on Security of ad hoc and sensor networks
Wireless Personal Communications: An International Journal
Vineyard Computing: Sensor Networks in Agricultural Production
IEEE Pervasive Computing
IEEE Communications Magazine
tinyLUNAR: one-byte multihop communications through hybrid routing in wireless sensor networks
NEW2AN'07 Proceedings of the 7th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
Extremely large-scale sensing applications for planetary WSNs
Proceedings of the 2nd ACM International Workshop on Hot Topics in Planet-scale Measurement
Parallel processing of data from very large-scale wireless sensor networks
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
RETRACTED: Impacts of sensor node distributions on coverage in sensor networks
Journal of Parallel and Distributed Computing
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We describe the design and implementation of a large-scale Wireless Sensor Network (WSN) for agriculture monitoring. As a part of validation we have deployed a prototype of 64 sensors to monitor a commercial vineyard. The system provides software modules ranging from filtering raw data to a centralised and a distributed data storage applications. The used protocols ensure reliable and robust communication and load-balancing energy consumption. A backend server provides a user-friendly graphical interface offering two main functionalities: logging communication messages of the protocols and providing end-user support for on-demand and periodic data requests. We have made a performance evaluation of a scaled-down WSN. We highlight the efficiency of the system on a large-scale deployment in comparison to the traditional solution based on individual weather station by deploying both systems in parallel and comparing results. We demonstrate that WSNs provide better geographical coverage and an increased spatial resolution compared to traditional solutions.