Advances in network simulation
By L. Breslau, Deborah Estrin, Kevin R. Fall, Sally Floyd, John S. Heidemann, Ahmed G. Helmy, Polly Huang, S. McCanne, K. Varadhan, Ya Xu and 1 more. Computer, 2000
953 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/42d4f9de2a9064a35f6186eb2daf8fb3efe81d12
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
- Bhaskar Krishnamachari
- John S. Heidemann
- Deborah Estrin
- Michele Zorzi
- Narayanan Sadagopan
- Andrew T. Campbell
- Falko Dressler
- Ahmed G. Helmy
In Management Science and Operations Research
- Johannes Gehrke
- Patrick Drew McDaniel
- Xiaoru Wang
- Ben Y. Zhao
- Edward A. Lee
- Bhaskar Krishnamachari
- K. Birman
- Kenneth M. Hopkinson
Citations in the corpus
- Supporting service differentiation in wireless packet networks using distributed control (2001, methodology): “For simulation, we use the ns-2 network simulator developed by the VINT Project [14] with the wireless extension produced by the MONARCH Group [23].”
- RMST: reliable data transport in sensor networks (2003, methodology): “The experiments were run in ns-2 [13] using an 802.”
- Taming heterogeneity - the Ptolemy approach (2003, background): “Integrated Circuit Hardware Description Language (VHDL) [41], Verilog [45], and ns [10] are primarily based on these models.”
- Query Processing in Sensor Networks (2003, methodology): “We have started to implement a prototype of our query processing layer in the ns-2 network simulator [4].”
- IMPORTANT: a framework to systematically analyze the Impact of Mobility on Performance of Routing Protocols for Adhoc Networks (2003, methodology): “…simulator (ns- 2) distribution, the implementation of this mobility model is as follows: at every instant, a node randomly chooses a destination and moves towards it with a velocity chosen uniformly randomly from [0, V max ], where V max is the maximum allowable velocity for every mobile node [1].”
- Distributed control algorithms for service differentiation in wireless packet networks (2001, methodology): “For simulation we use the ns-2 network simulator developed by the VINT Project [17] with the wireless extension produced by the MONARCH Group [18].”
- Geography-informed energy conservation for Ad Hoc routing (2001, methodology): “For that reason we implemented GAF in the ns-2 simulator [3], evaluating variations in node movement, traÆc pattern and energy model as described”
- Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis (2011, methodology): “Examples of such frameworks are open source tools such as the network simulator ns-2 [22], OMNeT++ [9], J-SIM [23], and JiST/ SWANS [24] and commercial tools like OPNET.”
- PATHS: analysis of PATH duration statistics and their impact on reactive MANET routing protocols (2003, methodology): “Using these patterns, simulations were run in the network simulator (ns-2 [ 15 ]) environment with the CMU Wireless Ad Hoc networking extension to evaluate the performance of DSR, AODV and DSDV in terms of throughput and routing overhead.”
- DRAND: Distributed Randomized TDMA Scheduling for Wireless Ad Hoc Networks (2006, methodology): “For the other types of radios (e.g., IEEE 802.11), we use NS [ 6 ] simulation.”
- A Survey of BGP Security Issues and Solutions (2010, background): “Very detailed network simulators such as ns2 [ 109 ] are often best used for simulating detailed events in a small network setting, but may be difficult to scale to a sufficient level for modeling the global network encompassed by BGP, and are not made with the protocol in mind.”
- The IMPORTANT framework for analyzing the Impact of Mobility on Performance Of RouTing protocols for Adhoc NeTworks (2003, methodology): “In the current network simulator (ns-2) distribution, the implementation of this mobility model is as follows: at every instant, a node randomly chooses a destination and moves towards it with a velocity chosen uniformly randomly from 1⁄20; Vmax , where Vmax is the maximum allowable velocity for eve”
- Underwater sensor networks: applications, advances and challenges (2012, background): “Many researchers develop custom simulators to address their specific question, and others develop personal extensions to existing tools such as the network simulator (ns-2, a popular tool for networking studies (Breslau et al., 2000)).”
- EPOCHS: a platform for agent-based electric power and communication simulation built from commercial off-the-shelf components (2006, background): “Although there are many network simulators, NS2 is the most widely used when evaluating the behavior of TCP, the TCP variants that have been proposed by researchers, and the behavior of routed UDP in large networks [27].”
- An Infrastructure for Fault-tolerant Wide-area Location and Routing (2001, methodology): “In the experiments shown in Figures 15 and 16, we compared a simplified Tapestry location mechanism against a centralized directory server on a 100 node ns-2 [5] TCP/IP simulation of a topology generated by GT-ITM [31].”