Directed diffusion: a scalable and robust communication paradigm for sensor networks
By Chalermek Intanagonwiwat, Ramesh Govindan, Deborah Estrin. ACM/IEEE International Conference on Mobile Computing and Networking, 2000
6,441 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/829cf8d5540342b6a7fd190befd0874e8e0e3b20
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
- David E. Culler
- Deborah Estrin
- Bhaskar Krishnamachari
- Ian F. Akyildiz
- Ramesh Govindan
- J. Stankovic
- Mani B. Srivastava
- Azzedine F. M. Boukerche
Citations in the corpus
- Securing wireless sensor networks: a survey (2008, background): “proposed an extension of logical key hierarchy for WSN (LKHW) [115] to protect the directed diffusion protocol [100].”
- An application-specific protocol architecture for wireless microsensor networks (2002, background): “Data from sensor networks are typically time sensitive, so it is important to receive the data in a timely manner.”
- Survey on Sensor Networks (2002, methodology): “, Directed Diffusion [14]), some focus on energy efficiency (e.”
- Relay node placement in large scale wireless sensor networks (2006, methodology): “In the first simulation, we fix the communication range of each sensor node to be 40 meters since practically this value for the sensor node is between 20 and 40 [ 12 ,17].We adjust the network density by changing the number of nodes in the network.”
- Maintaining Sensing Coverage and Connectivity in Large Sensor Networks (2005, background): “In addition to coverage and connectivity, several other issues have also been addressed in the context of sensor networks, such as information dissemination [17], [14], [30], architectural consideration for networked sensor devices [13], [24], localization without the aid of GPS [3], [25], [22].”
- Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017, background): “As for data acquisition techniques that make use of machine learning, several works have considered the use of machine learning in WSNs in order to solve network associated problem, such as energy-aware communication [171]–[175], optimal deployment and localization [176]–[179], resource allocation a”
- HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks (2004, methodology): “Data dissemination protocols proposed for sensor networks consider energy efficiency a primary goal [6], [5], [40], [7].”
- Pheromone Robotics (2001, background): “In the somewhat different domain of distributed sensor networks, versions of message diffusion that are similar to our virtual pheromone concept can be found [12,14].”
- Lessons from a Sensor Network Expedition (2004, background): “Many sensor network services are useful for habitat monitoring: localization [1], tracking [3,14,16], data aggregation [9,15,17], and, of course, energy efficient multihop routing [5,13,25].”
- Vehicular networks and the future of the mobile internet (2011, background): “They can also store the data, instead of periodically reporting it to sinks [56].”
- Multipath Routing in Mobile Ad Hoc Networks: Issues and Challenges (2003, background): “An energy-efficient mechanism for unipath routing in sensor networks called directed diffusion has been proposed in [26].”
- Mitigating congestion in wireless sensor networks (2004, methodology): “However, in sensor networks, data packets are usually small [6], and on some platforms the RTS/CTS exchange would incur a 40% overhead [24].”
- Distributed topology control for power efficient operation in multihop wireless ad hoc networks (2001, background): “Other protocols to disseminate application data without an explicit routing protocol in sensor network can also be used [15], [16].”