Mitigating congestion in wireless sensor networks

By Bret Hull, Kyle Jamieson, Hari Balakrishnan. ACM International Conference on Embedded Networked Sensor Systems, 2004

779 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/9b93ca3ef2d8ddabf8492891be52488d75c01a41

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In Computer Networks and Communications

Citations in the corpus

A unifying link abstraction for wireless sensor networks (2005, methodology): “Fusion [32] proposes a congestion control scheme with hop-by-hop flow control similar to CODA.”
RI-MAC: a receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks (2008, methodology): “This model, based on a correlated-event workload [13], simulates the impulse traffic triggered by spatiallycorrelated events commonly observed in detection and tracking applications.”
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]”
IP is dead, long live IP for wireless sensor networks (2008, background): “Significant work in WSNs have addressed similar issues outside the IP context [26, 51].”
Collection tree protocol (2009, background): “A large body of sensor network protocol work examines how to mitigate congestion when traffic concentrates around one node [3,9,13,26,33,34].”
Upstream congestion control in wireless sensor networks through cross-layer optimization (2007, background): “In Fusion [4], congestion is detected in each sensor node based on measurement of queue length.”
Funneling-MAC: a localized, sink-oriented MAC for boosting fidelity in sensor networks (2006, background): “For example, the funneling of events leads to increased transit traffic intensity and delay as events move closer toward the sink, resulting in significant packet collision, congestion, and loss; at best this leads to limited application fidelity measured at the sink, and at worst the congestion col”
Practical Routing in Delay-Tolerant Networks (2005, neutral): “congestion in wireless sensor networks [33].”
An Industrial Perspective on Wireless Sensor Networks — A Survey of Requirements, Protocols, and Challenges (2014, methodology): “The hop-by-hop method is considered to be more suitable for WSNs than the end-to-end method [19], [134], [135].”
DRAND: Distributed Randomized TDMA Scheduling for Wireless Ad Hoc Networks (2006, background): “Nonetheless, we are biased to claim that TDMA has a unique place in the MAC protocol design space for wireless networks, particularly where most of nodes can be assumed to be stationary such as wireless mesh networks and sensor networks.”
People-centric urban sensing (2006, background): “As our focus is on enabling human-centric applications, requirements on the architectural solution include the ability to sense people and characteristics of their immediate surroundings, and the ability to sense data related to interactions between people and interactions between people and…”
Localized algorithm for aggregate fairness in wireless sensor networks (2006, methodology): “Other works [34, 35, 4, 3] assum e single-path routing, which simplifies the fairness problem.”
DW-MAC: a low latency, energy efficient demand-wakeup MAC protocol for wireless sensor networks (2008, methodology): “Based on a correlated-event workload [10], we introduce a Random Correlated-Event (RCE) traffic model to simulate the impulse traffic triggered by spatiallycorrelated events commonly observed in detection and tracking applications.”
Real-time Power-Aware Routing in Sensor Networks (2006, background): “This property enables RPAR to scale effectively to large WSNs.”