Contiki - a lightweight and flexible operating system for tiny networked sensors
By Adam Dunkels, Björn Grönvall, Thiemo Voigt. 29th Annual IEEE International Conference on Local Computer Networks, 2004
3,127 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/8f0ee1195ae7e74101505222498a0a882b96f53f
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
- Thiemo Voigt
- Adam Dunkels
- Shahid Raza
- Linus Wallgren
- Ala Al-Fuqaha
- M. Mohammadi
- Benjamin Ransford
- J. Stankovic
In Computer Vision and Pattern Recognition
- Shahid Raza
- Linus Wallgren
- Thiemo Voigt
- Virender Ranga
- Abhishek Verma
- Fredrik Österlind
- Adam Dunkels
- Kevin Fu
Citations in the corpus
- Cross-Level Sensor Network Simulation with COOJA (2006, methodology): “The main contribution of this paper is COOJA, a novel simulator for the Contiki operating system [1] that enables cross-level simulation: simultaneous simulation at many levels of the system.”
- OpenWSN: a standards‐based low‐power wireless development environment (2012, background): “Contiki is an open-source operating system for WSNs and embedded devices developed at the Swedish Institute of Computer Science [15].”
- Learning to Schedule Communication in Multi-agent Reinforcement Learning (2019, methodology): “, Foerster et al. (2017a); Lowe et al. (2017); Sunehag et al. (2018); Rashid et al. (2018); Gupta et al. (2017). In addition to bandwidth-related constraints, we take the issues of sharing the communication medium into consideration, especially when agents communicate over wireless channels.”
- Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications (2015, background): “Contiki has a simulator called Cooja which allows researcher and developers to simulate and emulate IoT and wireless sensor network (WSN) applications [36].”
- SVELTE: Real-time intrusion detection in the Internet of Things (2013, methodology): “We implement SVELTE and the mini-firewall in the Contiki OS [9], a well known operating system for the IoT.”
- Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices (2020, methodology): “The authors evaluated SVELTE using a software simulator running on the Contiki Operating System [34] and it was able to detect rank attacks, inconsistencies in the network topology, sinkhole attacks, and selective forwarding attacks.”
- Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach (2018, methodology): “To enable communication between the 6LoWPAN nodes and UTGATE,weusedRPL (IPv6Routing Protocol for Low-power and Lossy Networks) implementation in Contiki OS [60] which is an open source operating system focusing on low-power IoT devices.”
- Structural Health Monitoring Framework Based on Internet of Things: A Survey (2017, methodology): “For further development, the simulation task can be achieved on Cooja, which is a Contiki network simulator that allows developers to simulate a large or small network of sensor nodes with Contiki OS [106-108].”
- A survey of visual sensor network platforms (2012, background): “Contiki OS [ 13 ] enables sensor nodes to communicate over IP (both IPv4 and IPv6) and has been used in a variety of projects which involves scalar sensor nodes.”
- Smart e-Health Gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems (2015, methodology): “To enable communication between the 6LoWPAN nodes and UT-GATE, we used Realtime Programming Language (RPL) implementation in Contiki OS [34] which is an open source operating system focusing on low-power IoT devices.”
- Performance analysis of single board computer clusters (2020, neutral): “The comparison between the Raspberry Pi 3 Model B + and the Odroid C2 is closer.”
- Lithe: Lightweight Secure CoAP for the Internet of Things (2013, methodology): “We implement our DTLS header compression mechanisms in the Contiki OS [5].”
- Protothreads: simplifying event-driven programming of memory-constrained embedded systems (2006, methodology): “We use three metrics to quantify the effect of protothreads: the number of explicit state machines, the number of explicit state transitions, and lines of code.”
- Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (2019, methodology): “The design, implementation, and testing of the IDS are carried out in the open source Contiki OS, a lightweight and flexible operating system for tiny networked sensors [175].”
- Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction (2019, methodology): “the TI MSP430, which are utilized in the Mica families, Telos, and Tmote.(44) Moreover, there are several constraints associated with the OS that have effects on the performance of a sensor node, which in turn become obstacles to embed SHM algorithms.”
- Software-based on-line energy estimation for sensor nodes (2007, methodology): “tiki [2] but the mechanism is general enough to be used in any operating system for sensor nodes.”
- Mementos: system support for long-running computation on RFID-scale devices (2011, methodology): “Recent work in sensor networks considers the problem of whole-network checkpointing [30], using MSPsim for experimentation on continuouslypowered sensor networks running the Contiki OS [13].”