RMST: reliable data transport in sensor networks
By Fred Stann, John S. Heidemann. Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003., 2003
762 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/66ef6bf7c3267f182f41fd0f9d8426f61794f95c
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
- Ian F. Akyildiz
- Azzedine F. M. Boukerche
- Ramesh Govindan
- Deborah Estrin
- Tommaso Melodia
- Kaushik R. Chowdhury
- John S. Heidemann
- Limin Wang
Citations in the corpus
- Algorithms and Protocols for Wireless Sensor Networks (2008, background): “Another transport protocol that aims to provide a reliable communication is the Reliable Data Transport in Sensor Networks (RMST) [41] that also implements a hop-by-hop acknowledgment.”
- A unifying link abstraction for wireless sensor networks (2005, neutral): “There are a Protocol Function Neighbor List Message Pool AODV, DSDV routing use helpful MintRoute 1-sink routing provide/use/trim queueing PSFQ, RMST reliable transport use helpful CODA, Fusion congestion control maybe use critical TAG query/aggregation use helpful Synopsis Diffusion aggregation ”
- A survey on wireless multimedia sensor networks (2007, methodology): “Reliable Multi-Segment Transport (RMST) [119] or the Pump Slowly Fetch Quickly (PSFQ) protocol [127] can be used for this purpose as they buffer packets at intermediate nodes, allowing for faster retransmission in case of packet loss.”
- Survey on Sensor Networks (2002, methodology): “When the RMST filter receives a NAK, if it gets a cache hit for the requested fragment, it unicasts that fragment to the requesting node.”
- An Industrial Perspective on Wireless Sensor Networks — A Survey of Requirements, Protocols, and Challenges (2014, background): “The above mentioned issues have also been confirmed by [136], [137] which demonstrates that the hop-by-hop approach is more scalable and error tolerant than the end-to-end method.”
- Interference-aware fair rate control in wireless sensor networks (2006, methodology): “We explore the impact of wireless loss rates on IFRC’s performance in Sections 4.3 and 6.2.”
- A wireless sensor network For structural monitoring (2004, neutral): “RMST [13] (Reliable Multi-Segment Transport) is a transport layer protocol that is designed to add reliable service on top of Directed Diffusion.”
- Reliability in wireless sensor networks: A survey and challenges ahead (2015, neutral): “The congestion gets worse as RMST also does not handle the possibility of NACK implosion when the downstream nodes issue a chain of NACK requests in the non-caching mode for the gaps detected within the fragments transmitted.”
- Collection tree protocol (2009, background): “CTP Noe’s forwarding timer borrows from work on reliable sensornet transport protocols [14, 27, 30, 32] which seek to maximize throughput by enabling pipelining through transmission timing.”
- The Tenet architecture for tiered sensor networks (2006, background): “RMST: Reliable data transport in sensor networks.”
- A Remote Code Update Mechanism for Wireless Sensor Networks (2003, methodology): “RMST [10] (Reliable Multi-Segment Transport) is a transport layer protocol designed to run in conjunction with Directed Diffusion [11].”
- A survey of multimedia streaming in wireless sensor networks (2008, methodology): “Congestion Control Only, [79]–[83] Reliable Transport Only, [84], [85] Both Congestion Control and Reliable Transport, [86], [87]”
- ReInForM: reliable information forwarding using multiple paths in sensor networks (2003, background): “Current protocols typically employ some reliable transport mechanism to reliably transmit packets to the destination [16, 18].”
- Spatio-temporal correlation: theory and applications for wireless sensor networks (2004, methodology): “In [ 19 ], the RMST (Reliable Multi-Segment Transport) protocol is proposed to utilize in-network caching and provide guaranteed delivery of the data packets generated by the event flows.”