Data aggregation mechanisms on the internet of things: a systematic literature review

S Yousefi, H Karimipour, F Derakhshan - Internet of Things, 2021 - Elsevier
Abstract Nowadays, the Internet of Things (IoT) has gained considerable attention in
different academic and real-world research domains. Due to the data-driven nature of IoT …

An energy-efficient artificial bee colony-based clustering in the internet of things

S Yousefi, F Derakhshan, HS Aghdasi… - Computers & Electrical …, 2020 - Elsevier
Wireless communication on the Internet of Things (IoT) requires context-aware data
transmission protocols. Develo** an energy-efficient clustering mechanism is the primary …

Civil aircrafts augmented space–air–ground-integrated vehicular networks: Motivation, breakthrough, and challenges

Q Chen, W Meng, S Li, C Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In order to meet mobile users' unprecedented communication demands and the goal of
global seamless communication, space–air–ground-integrated networks (SAGINs) have …

[PDF][PDF] Knowledge engineering on internet of things through reinforcement learning

W Shafik, SA Mostafavi - International Journal of Computer …, 2019 - researchgate.net
Reinforcement learning (RL) is a new research area practical in the internet of things (IoT)
where it addresses a broad and relevant task through about making decisions. RL enables …

[PDF][PDF] An energy-efficient mobile agent-based data aggregation scheme for wireless body area networks

G Mehmood, MZ Khan, M Fayaz… - … Materials & Continua, 2022 - cdn.techscience.cn
Due to the advancement in wireless technology and miniaturization, Wireless Body Area
Networks (WBANs) have gained enormous popularity, having various applications …

An efficient route planning model for mobile agents on the internet of things using Markov decision process

S Yousefi, F Derakhshan, H Karimipour, HS Aghdasi - Ad Hoc Networks, 2020 - Elsevier
Data aggregation on the Internet of Things (IoT) needs context-aware routing protocols to
satisfy the Quality of Services (QoS) requirements. Develo** energy-efficient, delay …

Applications of big data analytics and machine learning in the internet of things

S Yousefi, F Derakhshan, H Karimipour - Handbook of big data privacy, 2020 - Springer
Nowadays, the efficiency of Machine Learning (ML) mechanisms in the Internet of Things
(IoT) prompts the researchers and developers to use these emerging technology in different …

An Effective Data‐Collection Scheme with AUV Path Planning in Underwater Wireless Sensor Networks

W Khan, W Hua, MS Anwar, A Alharbi… - Wireless …, 2022 - Wiley Online Library
Data collection in underwater wireless sensor networks (UWSNs) using autonomous
underwater vehicles (AUVs) is a more robust solution than traditional approaches, instead of …

Introduction and evaluation of attachability for mobile iot routing protocols with markov chain analysis

B Safaei, H Taghizade, AMH Monazzah… - … on Network and …, 2022 - ieeexplore.ieee.org
Reliability of routing mechanisms in wireless networks is typically measured with Packet
Delivery Ratio (PDR). Basically, PDR is reported with an optimistic assumption that the …

A taxonomy for decision making in IoT systems

L Durán-Polanco, M Siller - Internet of Things, 2023 - Elsevier
Semantic knowledge representations in the IoT can enable the vision of autonomic
computing by providing a specification that enables interoperability and reasoning …