ESRT: event-to-sink reliable transport in wireless sensor networks

By Yogesh Sankarasubramaniam, Ö. Akan, Ian F. Akyildiz. ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2003

909 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/120386b4ece43253d67fb6431e0a740b453033b7

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

1. Ian F. Akyildiz
2. J. Stankovic
3. Deborah Estrin
4. Ramesh Govindan
5. Tian He
6. Hari Balakrishnan
7. John S. Heidemann
8. Kyle Jamieson

In Electrical and Electronic Engineering

1. J. Stankovic
2. Deborah Estrin
3. Ian F. Akyildiz
4. Ramesh Govindan
5. Gang Zhou
6. John S. Heidemann
7. Tian He
8. Tommaso Melodia

Citations in the corpus

• QoS Support in Wireless Sensor Networks: A Survey (2004, background): “Y. Sankarasubramaniam et al. in [ 24 ] propose a new reliable transport scheme (ESRT) for WSNs.”
• Congestion control and fairness for many-to-one routing in sensor networks (2004, background): “In [5], the authors proposed the event-to-sink reliable transport protocol (ESRT).”
• A survey on power control issues in wireless sensor networks (2007, methodology): “ESRT (Event-to-Sink Reliable Transport in Wireless Sensor Networks — Y. Sankarasubramaniam et al. [ 65 ] propose ESRT (Event-to-Sink Reliable Transport), a novel transport scheme developed to achieve reliable event detection in Wireless Sensor Networks with the least possible energy consumption.”
• CODA: congestion detection and avoidance in sensor networks (2003, background): “In contrast, when ESRT [ 9 ] receives less than the desired reporting rate it signals the sources to increase the source reporting rate unless a packet with the congestion notification bit set is received at the sink.”
• Mitigating congestion in wireless sensor networks (2004, methodology): “propose ESRT [19], the Event to Sink Reliable Transport Protocol.”
• A Survey of Fault Management in Wireless Sensor Networks (2007, neutral): “Alternatively, buffer occupancy level and channel loading conditions [19, 20] are used for fault detection (specifically, congestion).”
• 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.”
• Challenges for efficient communication in underwater acoustic sensor networks (2004, methodology): “For example, in [ 13 ], Event-to-Sink Reliable Transport (ESRT) protocol is proposed to achieve reliable event detection with minimum energy expenditure.”
• Models and solutions for radio irregularity in wireless sensor networks (2006, background): “For example, ESRT [Sankarasubramaniam et al. 2003] is proposed to provide reliable event-to-sink transport service.”
• 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 Remote Code Update Mechanism for Wireless Sensor Networks (2003, background): “ESRT operates by adjusting the reporting frequency of the sending nodes to achieve its optimal operating point (Low congestion , high reliability).”