NetSim wins award at IEEE COMSNETS 2015

We are happy to announce that NetSim was awarded the best demo runner up at COMSNETS 2015.

Coms

COMSNETS is a premier international conference dedicated to advances in Networking and Communications Systems. COMSNETS 2015 (Jan 6 – 10) featured a “Demos and Exhibits” session designed to allow start-ups, industries and researchers to showcase their latest industrial applications and research prototypes in all communications and networking related topics.

Beta version of NetSim v8.2 simulator and NetSim emulator were featured at COMSNETS. The emulator allows for connecting of real hardware running live applications to NetSim Simulator. The demo included emulation of video streams over wireless  (Wi-fi, LTE, Cognitive Radio etc) networks and compared source & destination streams (after simulating impairments via NetSim simulator). The packet captures of the two streams were available in hex format and difference between the captured packets & re-injected packets, after the network effects, were shown

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Saastra University Leverages NetSim for Research on Securing Femtocells

Femtocells have been proposed as solution for high-speed mobile network (i.e. LTE) bandwidth requirements. In this paper, researchers try to identify and mitigate a possible attack in femtocells where locational information about a femtocell user is disclosed

Challenge

Developing the Multihop Algorithm for privacy: An algorithm is to be developed to provide privacy to the sender which would require no additional hardware.

Simulating and Analyzing the algorithm: This algorithm should then be implemented into the device code, simulated and analyzed for performance.

Use Case

Developing custom code: Source C files, Cellular.c, GSM.c, Handover.c and GSM_Channel.c of NetSim’s GSM library were modified . These codes were linked and debugged using NetSim’s project work environment.

Modeling network configurations: Custom network configurations were created using NetSim’s XML based network configuration files. Alcatel Lucent home cell v2 was modeled with a radius of 25 meters and with 15 users.

Generating performance metrics: Packet and event traces were used for calculating the sought network performance metrics namely, Average Number of Reflections, and Average Time Spent in Femto Cell.

Results

Statistically analyzing performance: Since the trade off of the algorithm was increased delay, this was studied and found to be approx 50 ms, which could be afforded by the network architecture
“We chose NetSim given its extensive R & D capabilities in MANETs, WSNs, Cognitive Radio Networks and Cellular networks. NetSim has an easy to use UI for creating scenarios and modeling protocol & device parameters. The protocol library source codes are written in C and easily understandable. NetSim’s product features and quick support from their technical team makes it easier to simulate complex networking protocols which results in publishing quality research articles”
Sriram
Dr.V.S.Shankar Sriram,
SAASTRA University, Thanjavur
The published research paper is available at http://tetcos.com/downloads/Femto_Cell.pdf 

Please contact us for more information about functionality or pricing, or to arrange a demonstration.                                 Email: sales@tetcos.com, Visit: www.tetcos.com

Simulation of LTE Networks in NetSim

LTE, an acronym for Long Term Evolution, commonly known as 4G LTE, is a standard for wireless communication of high-speed data for mobile phones and data terminals. It is based on the GSM/EDGE and UMTS/HSPA network technologies, increasing the capacity and speed using a different radio interface together with core network improvements.

  • NetSim LTE implementation is per 3GPP TS 36.xxx standards covering
  • Devices – User Equipment (UE), E-UTRAN Node B (eNB), Mobility Management Entity (MME)
  • Protocol Stack covering NAS (Non access stratum), PDCP (Packet data convergence protocol), RRC (Radio resource control), RLC (Radio link control), Concatenation
  • LTE MAC
  1. Mapping between logical channels and transport channels
  2. Multiplexing of MAC SDUs from one or different logical channels onto transport blocks (TB)
  3. De multiplexing of MAC SDUs from one or different logical channels from transport blocks (TB)
  4. Priority handling between UEs by means of dynamic scheduling
  5. Priority handling between logical channels of one UE
  6. Logical Channel prioritization
  • LTE PHY – OFDM-MIMO Downlink and SC-FDMA uplink, CQI – SNR

LTE

The complete white paper explaining the implementation of LTE in NetSim and detailed comparison against NS-3 test suite is available at http://www.tetcos.com/LTE_Vertification_v8.pdf

LTE is available with NetSim v8 which is expected to be shipped from mid august ’14.

Please contact us for more information about functionality or pricing, or to arrange a demonstration. Email: sales@tetcos.com, Visit: www.tetcos.com

Case Study: WSN Term Project at IIT-M with NetSim

Wireless Sensor Networks (WSN) is an active area of research and given below is a case study of a WSN term project done at Indian Institute of Technology (IIT) Madras using NetSim, titled “Estimation of Carrier Sense Range and its effect on IEEE 802.15.4 Sensor Networks”

Challenge

  • Building probability models: The attenuation of IEEE 802.15.4 signals was to be observed and probability models for decoding range and carrier sense range were to be developed.
  • Estimating decoding range: This is the threshold below which packets sent from the transmitter are always received, and was to be estimated in terms of the probability that two devices separated by a distance are in decoding range.
         
Use Case
  • Developing custom code: Source C files, Sensor.c, CheckRoute.c and CCA.c of NetSim WSN library were modified. These codes were linked and debugged using NetSim’s project work environment.
  • Modeling network configurations: Custom Sensor network configurations were created using NetSim’s XML based network configuration files
  • Generating performance metrics: Packet and event traces were used for analyzing network performance metrics such as Throughput, Probability of packet discard, Average service rate and Mean Backoff duration
Results
  • Creating dependency graphs

  • These are directed graphs representing the probability of link establishment between sensors.These graphs were generated by sampling the probability model for each link.
  • Statistically analyzing performance: Variation in network performance, from simulation, for different dependency graphs were plotted for the 10 most likely and 10 least likely DG’s
  • Establishing confidence interval: This provides the probability that a network will operate in a corresponding range. The confidence interval for operation of the 802.15.4 Wireless Sensor network with limits of performance, i.e. throughput and packet failure probability, was established.
The complete report (1.3 Mb) is available at http://tetcos.com/WSN_Project_Report_IITM.pdf