Projecting Social Networks in Dynamic Environments for Tracking Purposes

Alanezi, Mafaz; Mahmood, Basim

doi:10.1109/ic-ictrudev50538.2021.9655711

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…Figure(10) displays the same outcome as Figure(4)(5)(6)(7)(8)(9) with the identical settings, but with the transfer technique changed to Spray&Wait, observing a variation in the Exponential model's functionality. This fluctuation is judged undesirable due to its instability and cannot be relied upon in this type of network since the stability of the findings of a given experiment is one of the important aspects in the assessment of its dependability.…”

mentioning

confidence: 89%

“…For instance, if the objective is to send a particular message to a particular group of network users, this objective must be met and the message must reach all intended recipients. Figure (7) employing the three acceptable traffic models in this research, illustrates the variance in the number of nodes that sensed the event propagated across the network. To fulfill the network's data transmission goals and minimize the frequency of delivering messages to the same users and energy loss during these iterations, a variety of approaches (Probabilistic Flooding, Spray& Wait, and Epidemic) were utilized to transport data.…”

Section: Energy Resource Consumptionmentioning

confidence: 99%

“…These issues are all resolved by researchers around the world, but solutions designed to address them have not yet been fully developed for the Internet of Things (IOT) need real trials to be validated. As the primary goal of using the Internet of Things is to enable the transfer of data and information with high accuracy and in a timely manner to users to change the way people behave in a way that serves their interests [7].…”

Section: Introductionmentioning

confidence: 99%

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Simulating Smart Cities Under Different Scenarios and Factors

Hussein¹,

Hamze²

2023

Technium

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In this research, we suggest building or utilizing a virtual environment of a smart city where fixed and mobile sensors are arranged in a certain way, using particular movement models and techniques for transmitting and sharing data via the virtual city. This proposal proposes to carry out several experiments for various movement models, such as:(Individual Mobility Model,Exponential movement model and Rayleigh Flight movement model), A specific data distribution (Gaussian, Littice, Power-law, Exponential) and a certain data routing methodology (Spray and Wait, Probabilistic Flooding, and Epidemic) were used to examine the impact of this on the use of network resources. In this proposal, we also want to look at the usage of various resources, including electricity and data. A movement model, an item distribution strategy, and a data routing protocol were all combined to create each experiment that was intended to be conducted in this proposal. All submitted experiments will ultimately be compared to one another, and recommendations that assist the research and design community in conserving network resources will be made. the findings show that the traffic models that were used with mobile nodes are considered one of the important factors in determining the consumption of network resources. In addition to the influence of traffic models on the consumption of network resources, algorithms and methods of routing data also have an impact. The Human Mobility Model, which accurately expresses human movement behavior, is considered one of the most stable models in terms of performance.

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mentioning

confidence: 89%

Section: Energy Resource Consumptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Simulating Smart Cities Under Different Scenarios and Factors

Hussein¹,

Hamze²

2023

Technium

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“…Other works in the literature investigated a variety of issues in such networks. For instance, tracking dynamic nodes in a dynamic environment [12][13], and tracking mobile objects in health-related applications [14][15].…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Evaluation of Vehicle Ad hoc Networks Under Wi-Fi-6 Technology

Hasan

Mahmood

2022

AL-Rafidain Journal of Computer Sciences and Mathematics

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Vehicle ad hoc networks are considered mobile networks where the nodes are mobile objects and can change their positions within an environment over time. These objects can be connected at any time according to a predefined strategy. Simulating this kind of network needs high attention to many details. Moreover, the literature lacks works that describe the requirements of simulating such networks. Therefore, this work tries to describe the requirements of simulating vehicle networks (VANETs). Moreover, the goal is to determine what is needed to simulate vehicle networks in terms of the distribution of vehicles, the movement patterns, and the routing protocols used. The simulation results show interesting facts about the VANET networks and the best strategies to minimize the consumption of network resources. Finally, this work considers two communication technologies among network nodes; Wi-Fi 5 and Wi-Fi 6.

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