In this era of new technologies with the ever growing need for reliable ecological energy supplies, monitoring and reducing the energy consumption of buildings becomes a very crucial concern. Improved healthcare insti...
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With today's fast population growth, a significant rise can be seen in road traffic, resulting in improper road conditions, like potholes. These cause a lot of problems, like road accidents and heavy damage to veh...
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The Internet of Things(IoT)has been growing over the past few years due to its flexibility and ease of use in real-time *** IoT's foremost task is ensuring that there is proper communication among different types ...
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The Internet of Things(IoT)has been growing over the past few years due to its flexibility and ease of use in real-time *** IoT's foremost task is ensuring that there is proper communication among different types of applications and devices,and that the application layer protocols fulfill this ***,as the number of applications grows,it is necessary to modify or enhance the application layer protocols according to specific IoT applications,allowing specific issues to be addressed,such as dynamic adaption to network conditions and ***,several IoT application layer protocols have been enhanced and modified according to application ***,no existing survey articles focus on these *** this article,we survey traditional and recent advances in IoT application layer protocols,as well as relevant real-time applications and their adapted application layer protocols for improving *** changing the nature of protocols for each application is unrealistic,machine learning offers means of making protocols intelligent and is able to adapt *** this context,we focus on providing open challenges to drive IoT application layer protocols in such a direction.
In recent times,sixth generation(6G)communication technologies have become a hot research topic because of maximum throughput and low delay services for mobile *** encompasses several heterogeneous resource and commun...
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In recent times,sixth generation(6G)communication technologies have become a hot research topic because of maximum throughput and low delay services for mobile *** encompasses several heterogeneous resource and communication standard in ensuring incessant availability of *** the same time,the development of 6G enables the Unmanned Aerial Vehicles(UAVs)in offering cost and time-efficient solution to several applications like healthcare,surveillance,disaster management,*** UAV networks,energy efficiency and data collection are considered the major process for high quality network *** these procedures are found to be challenging because of maximum mobility,unstable links,dynamic topology,and energy restricted *** issues are solved by the use of artificial intelligence(AI)and energy efficient clustering techniques for UAVs in the 6G *** this inspiration,this work designs an artificial intelligence enabled cooperative cluster-based data collection technique for unmanned aerial vehicles(AECCDC-UAV)in 6G *** proposed AECCDC-UAV technique purposes for dividing the UAV network as to different clusters and allocate a cluster head(CH)to each cluster in such a way that the energy consumption(ECM)gets *** presented AECCDC-UAV technique involves a quasi-oppositional shuffled shepherd optimization(QOSSO)algorithm for selecting the CHs and construct *** QOSSO algorithm derives a fitness function involving three input parameters residual energy of UAVs,distance to neighboring UAVs,and degree of *** performance of the AECCDC-UAV technique is validated in many aspects and the obtained experimental values demonstration promising results over the recent state of art methods.
This research explores temporal community detection to identify patterns in course grading and offerings at The University of Illinois from Spring 2010 to Spring 2020. Using a dataset that includes course grades, subj...
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Multicasting over a multi-hop wireless mesh network is a challenging issue that recently received less attention. Various applications, such as distance learning, telemedicine, web radio, and online conferencing, requ...
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Knowledge distillation(KD) technique is widely known for its outstanding ability to train a compact student model under supervision of a cumbersome pre-trained teacher network. The traditional KD technique focuses onl...
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Authentication plays a major role in the security of smart home devices. This has increased a lot of interest in the research community leading to numerous authentication scheme that have been proposed for the smart h...
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In Attendance Management System by using Geo-Location, the aim is to take attendance by using Geo-Location to track the information about the user or particular user whether the user is present or not in that particul...
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Detection and Classification of various crop diseases can help to prevent a disastrous situation. If left undetected, many diseases damage the plant, thus reducing the crop yield produced by such plants. Therefore, in...
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