Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Implementing software on resource-constrained mobile sensors: experiences with Impala and ZebraNet
Proceedings of the 2nd international conference on Mobile systems, applications, and services
An analysis of a large scale habitat monitoring application
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Simulating and testing mobile wireless sensor networks
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
Evolution and sustainability of a wildlife monitoring sensor network
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Revealing the hidden lives of underground animals using magneto-inductive tracking
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
LittleRock: Enabling Energy-Efficient Continuous Sensing on Mobile Phones
IEEE Pervasive Computing
Crane charades: behavior identification via backpack mounted sensor platforms
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Camazotz: multimodal activity-based GPS sampling
Proceedings of the 12th international conference on Information processing in sensor networks
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This paper presents CraneTracker, a novel sensor platform for monitoring migratory birds. The platform is designed to monitor Whooping Cranes, an endangered species that conducts an annual migration of 4,000 km between southern Texas and north-central Canada. CraneTracker includes a rich set of sensors, a multi-modal radio, and power control circuitry for sustainable, continental-scale information delivery during migration. The need for large-scale connectivity motivates the use of cellular technology in low-cost sensor platforms augmented by a low-power transceiver for ad-hoc connectivity. This platform leads to a new class of cellular sensor networks (CSNs) for time-critical and mobile sensing applications. The CraneTracker is evaluated via field tests on Wild Turkeys, Siberian Cranes, and an on-going alpha deployment with wild Sandhill Cranes. Experimental evaluations demonstrate the potential of energy-harvesting CSNs for wildlife monitoring in large geographical areas, and reveal important insights into the movements and behaviors of migratory animals. In addition to benefiting ecological research, the developed platform is expected to extend the application domain of sensor networks and enable future research applications.