STEM: Topology management for energy efficient sensor networks
By Curt Schurgers, Vlasios Tsiatsis, Mani B. Srivastava. Proceedings, IEEE Aerospace Conference, 2002
330 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/d02463ecf61cfc6ae3cc417df6f48a9dfd5a6458
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Sajal K. Das
- John S. Heidemann
- Marco Conti
- Mario Di Francesco
- Giuseppe Pio Anastasi
- Wei Ye
- Affan Ahmed Syed
- Matthew J. Miller
Citations in the corpus
- WiseMAC: an ultra low power MAC protocol for the downlink of infrastructure wireless sensor networks (2004, background): “A number of proposals are available , among which one can cite S - MAC [ 5 ] and STEM [ 9 ] .”
- WiseMAC: An Ultra Low Power MAC Protocol for Multi-hop Wireless Sensor Networks (2004, background): “Secondly, the signalling protocol required to setup and maintain the Spatial-TDMA schedule, and to maintain the network synchronization may be very complex and costly both in computational and energetic resources. Schurgers et al. have proposed STEM [ 10 ].”
- Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey (2011, methodology): “If it does not detect any discovery message, it can return to sleep; otherwise it can start transferring data to the ME [Schurgers et al. 2002b].”
- A distributed coverage- and connectivity-centric technique for selecting active nodes in wireless sensor networks (2005, background): “The CDS is a subset of vertices that forms a DS and a connected subgraph.”
- A MAC protocol to reduce sensor network energy consumption using a wakeup radio (2005, background): “For instance, a host that is awakened from a sleeping state may remain up long enough to receive a “session” of packets [ 26 ].”
- Energy-aware wireless microsensor networks (2002, background): “STEM [28] goes beyond GAF and SPAN in improving the network lifespan by exploiting the fact that most of the time the network is only sensing its environment waiting for an event to happen.”
- Research challenges and applications for underwater sensor networking (2006, background): “Their energy efficiency can be improved by enabling low-duty-cycle operations on nodes, such as S- MAC [51], [52], STEM [38], [37], low-power listening [19].”
- A Survey on Distributed Topology Control Techniques for Extending the Lifetime of Battery Powered Wireless Sensor Networks (2013, methodology): “This assumption implies that STEM is an application-specific algorithm, thus STEM is energy efficient for sensor nodes that have an occasional data transfer which is triggered by an event.”
- Energy conservation in wireless sensor networks: A survey (2009, background): “Unlike STEM, in PTW the burden for tone detection is shifted from the receiver to the sender.”