Sensors: the next wave of innovation
Communications of the ACM
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Communications of the ACM - Wireless sensor networks
The platforms enabling wireless sensor networks
Communications of the ACM - Wireless sensor networks
Computer
Training a wireless sensor network
Mobile Networks and Applications
Positioning in ad hoc sensor networks
IEEE Network: The Magazine of Global Internetworking
Time synchronization in sensor networks: a survey
IEEE Network: The Magazine of Global Internetworking
Wireless sensor networks: leveraging the virtual infrastructure
IEEE Network: The Magazine of Global Internetworking
Efficient binary schemes for training heterogeneous sensor and actor networks
Proceedings of the 1st ACM international workshop on Heterogeneous sensor and actor networks
Efficient corona training protocols for sensor networks
Theoretical Computer Science
Asynchronous training in wireless sensor networks
ALGOSENSORS'07 Proceedings of the 3rd international conference on Algorithmic aspects of wireless sensor networks
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Due to their small form factor and modest energy budget, individual sensors are not expected to be GPS-enabled. Moreover, in most applications, exact geographic location is not necessary, and all that the individual sensors need is a coarse-grain location awareness. The task of acquiring such a coarse-grain location awareness is referred to as training. In this paper, a scalable energy-efficient training protocol is proposed for massively-deployed sensor networks, where sensors are initially anonymous and unaware of their location. The training protocol is lightweight and simple to implement; it is based on an intuitive coordinate system imposed onto the deployment area which partitions the anonymous sensors into clusters where data can be gathered from the environment and synthesized under local control.