A centralized multiple access scheme for data gathering in Satellite-Routed Sensor System (SRSS)

No abstract is available for this paper.

• Publication year

  2013

• Venue

  Global Communications Conference

• Publication date

  2013-12-01

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/GLOCOM.2013.6831531
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Toward Optimized Traffic Distribution for Efficient Network Capacity Utilization in Two-Layered Satellite Networks

  2013cited by this paper
• On real-time data gathering in next generation satellite-routed sensor system (SRSS)

  2012cited by this paper
• Power Saving Bandwidth Allocation over GEO Satellite Networks

  2012cited by this paper
• Distributed service integration for disaster monitoring sensor systems

  2011cited by this paper
• Smart community: an internet of things application

  2011cited by this paper
• Field Measurement on Simple Vehicle-Mounted Antenna System Using a Geostationary Satellite

  2010cited by this paper
• Advances in Random Access protocols for satellite networks

  2009cited by this paper
• Optimized Autonomous Space In-situ Sensor-Web for Volcano Monitoring

  2008cited by this paper
• Efficient Satellite-Based Sensor Networks for Information Retrieval

  2008cited by this paper
• Wireless multimedia sensor networks: A survey

  2007cited by this paper
• Contention Resolution Diversity Slotted ALOHA (CRDSA): An Enhanced Random Access Schemefor Satellite Access Packet Networks

  2007cited by this paper
• Hybrid access scheme based on one-phase preamble and channel monitoring/assignment for satellite communications

  2004cited by this paper
• Delay distributions of slotted ALOHA and CSMA

  2003cited by this paper

• Multiuser Detection for LTE Random Access in MTC-Oriented Space Information Networks

  2016cites this paper
• Internet of Things (IoT): Present State and Future Prospects

  2014cites this paper
• Data Gathering using New Clustering Algorithm

  2014cites this paper