Training a wireless sensor network
Mobile Networks and Applications
Efficient corona training protocols for sensor networks
Theoretical Computer Science
A measurement study of interference modeling and scheduling in low-power wireless networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
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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The Internet connection of wireless sensor networks (WSNs) is in general assured by more than one gateway. Planning or optimizing such multi-gateway WSNs (MWSNs) has lately been the focus of the research community. For this purpose, most researchers assume that each sensor node knows about a path to each gateway node. The question how a MWSN can be efficiently started up, i.e. how the sensor nodes learn about the gateways has in contrast not yet been studied thoroughly. To close this gap, we formally describe the problem of starting up a MWSN and demonstrate the importance of optimizing the start-up phase by comparing the performance of an optimal solution to the performance of less efficient distributed algorithms.