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OmnextPro provides generic infrastructure for creating, running and evaluating simulations. It is a well-established tool in the scientific community. It caters for the simulation of communication networks including wired and wireless networks - mobile ad-hoc networks and sensor networks; hardware like high-speed interconnects and networks-on-chip; it can be used for performance modeling of clouds and other HPC systems; and for much more. Models using OmnextPro are written in C++, and execute on top of a streamlined simulation kernel to provide high event throughput. OmnextPro gives flexibility to explore, modify and enhance models, because you have access to the source code and to platform infrastructure. You can also get the simulator to work together with other software in your toolbox: external simulators, Matlab, SystemC. Simulations can be run on a multitude of platforms. Simulation models are available for many application domains
• Internet • Wired and Wireless LANs • Mobile Ad-hoc Networks • Sensor Networks • Inter-vehicle and in-vehicle networks • Cellular networks • Satellite communications • Optical networks • Interconnection networks • Networks-on-Chip (NoCs) • Cloud computing • HPC clusters • SANs • Queueing • Resource allocation
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Other Features:
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Seamless embedding into your proprietary software makes you even more competitive.
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Integration with existing simulation software using SystemC or HLA gives you interoperability.
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Reusable components let you build new simulations easily.
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Concise and flexible parameterization makes it easy to configure your simulations.
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Component-based modeling lets you build your models from reusable, self-contained blocks.
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The Simulation IDE provides you with state-of-the-art development tools.
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The integrated debugging environment helps you identify problems quickly.
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Open and well-documented file formats let you integrate OMNEST into your workflow.
In Cognitive Radio based Heterogeneous Wireless Sensor Network, eCorhan protocol is an innovative multi-layered infrastructure approach which incorporates different communication modes over large geographical area. It shares radio resources fairly and efficiently by integrating multiple networks together. It employs cooperative communication among sensor nodes and cognitive radio to ensure an optimized communication experience for users. Challenge in such network is the ability to instantly detect interference on the frequencies being used and quickly tune to other better frequencies for communication reliability. Fuzzy Inference System is applied to mitigate the fading frequencies due to co-channel interference. It helps to sort out the best frequency channel among the selected cooperative spectrum sensed channels.
Eishaa Networks is backed up by a Global Research Group, based in Japan, a leading company in the research and development of future and emerging communication systems, offering related consultancy services and products. It renowned for its system level simulation services in the area of advanced Radio Resource Management (RRM) and Self-Organizing Networks (SON). Via sustained research and consulting projects with strategic partners, we develop and implement leading edge technologies and future standards such as WiFi, LiFi, LTE, LTE-Advanced, DVB-H or MBMS. Our partners and customers benefit from our capabilities in system design, simulation, and rapid prototyping which are continuously expanded in ongoing research projects. Key areas for consultancy are Small Cells and HetNet, Tactical Networks, Industrial IoT, Public Safety, Automotive, D2D, LTE Broadcast. Engineering research and development services help transform your product vision into successful real-world designs through engineering expertise and ecosystem partnerships.
Spectrum sensing and its efficient utilization are the main intriguing problems in Cognitive Radio Networks. Under-utilized spectrum creates opportunities to further investigate performance improvement through cognitive radio techniques. Objective of secondary user is to maximize the probability of finding and utilizing an available channel while minimizing the investigation cost. Objective of eCorMac protocol is to maximize deliverable throughput through optimal spectrum sharing among cognitive users. It strives to achieve a balance by minimizing interference to licensed users and maximizing the entire system performance providing opportunistic access to number of secondary users. It performs opportunistic spectrum sensing using unbiased estimator to find out an optimum list of idle channels and adaptive channel assignment to estimate and predict the most appropriate channel for dynamic utilization for cognitive users.
eCorMac
eFirCan
eCorHan
OmnextPro
With Multiple radios, node's capacity can be improved by transmitting simultaneously using orthogonal channels in Wireless Mesh Networks. Capitalizing and taking advantage over these properties requires efficient channel estimation and assignment to radios technique with effective route discovery mechanism. Fauna inspired eFirCan protocol uses a Probabilistic and Randomly Computed Channel Assignment Algorithm to achieve efficient multipath routing in a multi-radio multi-channel Wireless Mesh Networks in an interference constrained topology. It utilizes adaptive random network coding to analyze conflict and non-conflict channels. It does a meta-heuristic search on all possible non-conflict channels and segments it with respect to the channel capacity for efficient route discovery. All possible routing path information is then processed using right scheduling and fairness index maintaining Quality of Service.
eTacticalIDPS
eHealthIoT
eIndustrialIoT
Security has become one of the major concerns in Mobile Ad-hoc Networks (MANETs). Intrusion Detection and Prevention System (IDPS) undoubtedly is a crucial ingredient to address these threats in MANET such as unauthorized network access, man in the middle attacks, denial of service etc to provide highly reliable communication amongst the nodes. eTacticalIDPS protocol a securing strategy which follows a distributed and centralized architecture with distributed client node serving as the intelligent decision processing unit and centralized IDPS server serve as a Smart MIML decision making unit.
Security has become one of the major concerns in Mobile Ad-hoc Networks (MANETs). Intrusion Detection and Prevention System (IDPS) undoubtedly is a crucial ingredient to address these threats in MANET such as unauthorized network access, man in the middle attacks, denial of service etc to provide highly reliable communication amongst the nodes. eTacticalIDPS protocol a securing strategy which follows a distributed and centralized architecture with distributed client node serving as the intelligent decision processing unit and centralized IDPS server serve as a Smart MIML decision making unit. It is built to protect the confidentiality, integrity and availability of network data by making the system reliable and protecting the system from malicious attacks which can lead to information disclosure.
Spectrum eIndustrialIoT incorporates machine learning and big data technology, harnessing the sensor data, machine-to-machine (M2M) communication and automation technologies that have existed in industrial settings for years. The driving philosophy behind the IIoT is that smart machines are better than humans at accurately, consistently capturing and communicating data. This data can enable companies to pick up on inefficiencies and problems sooner, saving time and money and supporting business intelligence efforts. In manufacturing specifically, IIoT holds great potential for quality control, sustainable and green practices, supply chain traceability and overall supply chain efficiency.