Localization is recognized among the topmost vital features in numerous wireless sensor network (WSN) applications. This paper puts forward energy-efficient clustering and localization centered on genetic algorithm (ECGAL), in which the residual energy ...
Junfeng Chen +4 more
doaj +1 more source
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments [PDF]
Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive volume of data that can overwhelm storage systems and data analytics applications ...
Harshit Gupta +3 more
semanticscholar +1 more source
Affinity Propagation Based Measurement Partition Algorithm for Multiple Extended Target Tracking
It is difficult to accurately and rapidly partition measurement sets of multiple extended targets in cluttered environment. Hence the affinity propagation method is introduced and a novel measurement partition algorithm is proposed.
Yang Jin-long +3 more
doaj +1 more source
An Improved Hybrid Transfer Learning-Based Deep Learning Model for PM2.5 Concentration Prediction
With the improvement of the living standards of the residents, it is a very important and challenging task to continuously improve the accuracy of PM2.5 (particulate matter less than 2.5 μm in diameter) prediction.
Jianjun Ni +4 more
doaj +1 more source
Securing the Internet of Things [PDF]
This paper presents security of Internet of things. In the Internet of Things vision, every physical object has a virtual component that can produce and consume services Such extreme interconnection will bring unprecedented convenience and economy, but it will also require novel approaches to ensure its safe and ethical use.
Roman R., Najera P., Lopez J.
openaire +2 more sources
UAV-Assisted Data Collection for Internet of Things: A Survey [PDF]
Thanks to the advantages of flexible deployment and high mobility, unmanned aerial vehicles (UAVs) have been widely applied in the areas of disaster management, agricultural plant protection, environment monitoring, and so on. With the development of UAV
Zhiqing Wei +7 more
semanticscholar +1 more source
Mobility for the Internet of Things [PDF]
n ...
Bartolomeo Montrucchio +4 more
openaire +3 more sources
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges [PDF]
The Internet of Things (IoT) will be ripe for the deployment of novel machine learning algorithm for both network and application management. However, given the presence of massively distributed and private datasets, it is challenging to use classical ...
L. U. Khan +4 more
semanticscholar +1 more source
An Optimal Enhanced Kalman Filter for a ZUPT-Aided Pedestrian Positioning Coupling Model
Aimed at overcoming the problems of cumulative errors and low positioning accuracy in single Inertial Navigation Systems (INS), an Optimal Enhanced Kalman Filter (OEKF) is proposed in this paper to achieve accurate positioning of pedestrians within an ...
Qigao Fan +6 more
doaj +1 more source
Research on Speech Under Stress Based on Glottal Source Using a Physical Speech Production Model
Speech recognition accuracy is severely reduced by the variability caused by stress. Considering the fact that speech under stress is caused by the physiological changes of the vocal folds in the physiological system whose vibration behavior is reflected
Xiao Yao +4 more
doaj +1 more source

