Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Eon: a language and runtime system for perpetual systems
Proceedings of the 5th international conference on Embedded networked sensor systems
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
Magneto-inductive tracking of underground animals
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Demo: Creating interactive virtual zones in physical space with magnetic-induction
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Magneto-inductive networked rescue system (MINERS): taking sensor networks underground
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Sensing through the continent: towards monitoring migratory birds using cellular sensor networks
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Robust, low cost indoor positioning using magnetic resonant coupling
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Distributed Active Sensor Scheduling for Target Tracking in Ultrasonic Sensor Networks
Mobile Networks and Applications
Energy efficient GPS sensing with cloud offloading
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Hi-index | 0.00 |
Currently, there is no existing method for automatically tracking the location of burrowing animals when they are underground, consequently zoologists only have a partial view of their subterranean behaviour and habits. Conventional RF based methods of localization are unsuitable because electromagnetic waves are severely attenuated by soil and moisture. Here, we use an as yet unexploited method of localization, namely magneto-inductive (MI) localization. Magnetic fields are not affected by soil or water, and thus have virtually unattenuated ground penetration. In this paper, we present a method that allows the position of an animal to be determined through soil. Not only does this enable the study of behaviour, it also allows the structure of the tunnel to be automatically mapped as the animal moves through it. We describe the application for tracking wild European Badgers (Meles meles) within their burrows, providing experimental data from a two month deployment.