Mobile Computing Simulation


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With the growing need for wireless communication, the data transmission in mobile computing could be enhanced by deploying microcells. Since the essential assumption is too perfect, the transmission limit cantered on a hexagonal lattice no longer applies when the intensity of the Base stations grows. Through this article, we have provided a complete picture of mobile computing simulation wherein we have included all the essential details needed for developing mobile computation projects efficiently. Let us now discuss an outline of mobile computing

Outline of Mobile Computing 

  • Mobile Computing seems to be a broad word that describes human technical knowledge as ‘unrestrained,’ such that when you are not actually attached to it, or when you are in a distant or movable setting.
  • In contemporary terms, the word has developed to mean that personal computing activities must be linked remotely to and through the Internet or other networks.
  • By the use of rechargeable batteries, mobile, and wireless communications, and data equipment, this connectivity exposes the smartphone to centralized data and development tools.
  • Computers using wireless Systems or portable WAN technologies, mobile phones, wearable technology, and Personal Digital Assistants (PDAs) having Bluetooth and IRDA connections are all examples of this.
  • In 5G smartphones, the data transmission of the networks can be enhanced through an amazingly denser installation of tiny cell Base stations for fulfilling ever-increasing demands for bandwidth utilization.
  • Because tiny cell-like base stations are used in cities, the irregular geometric arrangement of structures and obstructing things causes absorption, reflecting, dispersing, and divergence of electromagnetic radiation at varying intensities.

Usually, clear-cut explanations and detailed demonstrations about all mobile computing simulation projects are provided by our experts. So get in touch with us for getting their doubts and queries about mobile computing resolved immediately. We have been guiding students and Research scholars from all top world universities and institutions in mobile computing for the past 20 years. Therefore we are capable of handling all project ideas and solving any type of issues related to them. What are the emerging technologies in mobile computing?

Emerging Technologies in Mobile Computing 

  • Mobile multimedia, mobile device architecture, and mobile cloud computing
  • Management and analysis of mobile data, networking sensing applications 
  • Wireless accessing technologies and mobile system applications
  • Interaction techniques and mobile user experience
  • Mobile cloud computing languages and mobile user interfaces
  • Mobile computing toolkits and energy-aware mobile computing
  • Tracking, localization, and semantic web technologies
  • Participatory sensing, crowdsourcing and wearable computing
  • Mobile computing social networking applications
  • Wearable computing and body area networks
  • Ubiquitous computing and mobile computing based on Machine learning
  • Context-aware services and Location-aware applications 
  • Covid 19 management and mobile computing
  • Privacy, security, and integrity in mobile computing

As a result mobile computing project ideas and their simulation usually range among these categories. We insist you talk with our experts in order to find the feasibility and probability of any project idea that you are interested in. We will provide you with updated information and Research data from benchmark references and standard book materials so that the task of Data collection becomes easier for you. What are the major mobile computing tools?

Implementation of Mobile Computing Simulation Projects


  • QualNet
    • A utility for developing conventional network topologies which includes a set of conventional network communication constituent libraries is included.
    • Additional element packages are given for providing more specialized functions as well as internet protocols, like the Cellular LTE Simulation software.
    • Relying on the 3GPP Version Nine specifications, the Long Term Evolution (LTE) Modelling Collection offers superior LTE simulations of 4G mobile ability to function efficiently.
  • Swans 
    • Communication and node to node connectivity are used in the adoption of a long-term strategy.
    • Various intermediate procedures, like authentication, call delivery, including hand-off for mobile networks, needed to be solved while the development of the project.
    • Additional advanced system connection protocols are expected to be implemented, allowing seamless functioning among cellular, telephone, as well as other communications networks.
  • Packet tracer
    • To test the building of especially mobile modeling and visualize data transmission of technical challenges and configurations, users can build a system and afterward customize models according to their needs.
    • Gateways, switching functionaries, servers, and personal computers are examples of devices connected.
    • The graphics-based depiction produces a useful result.
    • As a result, users can have a better understanding of how the network works.
  • NS 3
    • Using network simulator 3, we create a NS3 5G mobile application at mmWave package which can be used to simulate systems at mmWave frequencies.
    • This also uses a variety of channel estimation, including some of the most recent 3GPP versions for frequencies beyond 6 GHz.
    • After that, you can use Ray tracer to simulate the obtained trails.
  • Omnet++
    • The software uses the INET toolkit framework for supporting all of the upper layers of the IP stack and generates LTE and LTE-Advanced wireless computing depending on OMNeT++.
    • IP routers, as well as server software, are engaged as IP components in the communication system.
    • To create models of various network topologies among wireless networks, the INET introduces the notion of Network Interface Card (NIC) components, which can be embedded throughout other modules.
    • When additional data or a signal is received, the wireless communications are evaluated using the associated channel model.
  • J-Sim
    • Configuration diagnoses, establishing input features, design runs, collection of techniques trying to solve fractional differential formulas, operated multi-dimensional visuals, optimization techniques, risk assessment, and Monte Carlo simulation for characterizing optimism ranges are all assisted by J-Sim, which is constructed on the ACA as well as INET structure.
    • To construct the concepts while configuring and controlling the simulation using programming languages.
    • Signals from the oriented organization are supplied as model parameters and boundary values.
  • CAPsim
    • We have developed a custom computing system that can be built and deployed in real-time
    • Engineers and developers of cyber-physical networks can use this prototype to replicate the software system, device drivers, and physical storage perspectives for a contextual conscious CPS.
    • Following the deployment of nodes, the energy usage and internet traffic are evaluated under various scenarios.
    • Usually low transmissions, on the scale of 100W or even less, are utilized in the development of mobile communication models.
    • The development of this infrastructure was successful.
    • The key principles are standards like messaging protocols, as well as the addition of Frequencies and route assignments.
    • Considering delay, traffic capability, energy usage, and data rate when considering mobile applications.
  • NetSim
    • The Global System for Mobile Communication (GSM) as well as Code-Division Multiple Access (CDMA) is covered by the NetSim mobile communication framework.
    • The cellular database management system ensures that radio transmission is provided over a broader geographic region.
    • Cell devices and other user terminals can interact even though the user moves among cells.
    • The system gets an insight into the channel’s queries issued, accepted, and blockages rates throughout the deployment.

Here are our engineers and developers who have got ample knowledge and experience in handling all of these simulation tools efficiently. We provide complete support in writing codes and implementing them. We also ensure to provide you with ultimate guidance in real-time project implementation and further execution. Let us now see about mobile computing parameters.


  • Mobility (random waypoint) and path loss models (two ray ground)
  • Average node velocity (10 m/s) 
  • The following are the mobile computing simulation parameters for the scenario of LTE eNodeB
    • Frequency (2300 MHz), bandwidth (10 MHz), and transmission power (43 dBm)
    • Simulation time (60 second), Height of the antenna (50 m), and Ricean factor (10.0 db)
    • For 802.11a scenario, the following are the simulation parameters
  • Transmission power (16 dBm) and receiver sensitivity (-96 dBm)
  • Height of the antenna (1.5 m), channel number (36), and frequency (5100 MHz)

Furthermore, the following are the other important parameters that are used in mobile computing

  • The capacity of the battery (1000 J) and the channel power gain (127 + 30 x log d)
  • Cloud energy consumption for computation (90 watt per giga cycle)
  • Gaussian channel noise (2 x 10 ^ -13 watt)
  • Transmission bandwidth (20 MHz) and number of tasks (500)
  • Mobile device transmit power (0.5 watt)

For the technical descriptions associated with these parameters and the essential components to be adjusted for obtaining such appreciable parametric values, you can visit our website or contact us. We will provide you with all necessary research materials, supportive points, documentation, and many more concerning mobile computing simulation. 

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