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Particle swarm optimization advances in internet of things industry
Faculty
Engineering
Year:
2022
Type of Publication:
ZU Hosted
Pages:
Authors:
Amro Ahmed Ismail Morsy
Staff Zu Site
Abstract In Staff Site
Journal:
Frontiers in Nature-Inspired Industrial Optimizatio Springer Singapore
Volume:
Keywords :
Particle swarm optimization advances , internet , things
Abstract:
Internet of things (IoT) is a fast-growing industry that requires the collaboration of many scientific disciplines. IoT can be defined as a network of connected objects (and possibly human individuals) that can exchange data among each other using mobile and embedded sensors. IoT has gained wide applicability in areas like smart buildings, smart cars, health care and human activity recognition, robotics, marketing and business, and others. Thus many interesting related research problems have been proposed recently, mainly protocols and standardizations, sensor technology, wireless sensors network, big data analysis, and security. In this paper, the role of a particle swarm optimization algorithm in solving many IoT-related optimization problems is figured out. The simple design rather than the high effectiveness of PSO has encouraged researchers to develop many versions of the algorithm. Many …
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Amro Ahmed Ismail Morsy , "Improved Low Energy Adaptive Clustering Hierarchy in Wireless Sensor Network Routing Protocols", International Journal of Engineering and Technology, 2018
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