Data aggregation mechanisms on the internet of things: a systematic literature review
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 …
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
Wireless communication on the Internet of Things (IoT) requires context-aware data
transmission protocols. Develo** an energy-efficient clustering mechanism is the primary …
transmission protocols. Develo** an energy-efficient clustering mechanism is the primary …
Civil aircrafts augmented space–air–ground-integrated vehicular networks: Motivation, breakthrough, and challenges
In order to meet mobile users' unprecedented communication demands and the goal of
global seamless communication, space–air–ground-integrated networks (SAGINs) have …
global seamless communication, space–air–ground-integrated networks (SAGINs) have …
[PDF][PDF] Knowledge engineering on internet of things through reinforcement learning
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 …
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
Due to the advancement in wireless technology and miniaturization, Wireless Body Area
Networks (WBANs) have gained enormous popularity, having various applications …
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
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 …
satisfy the Quality of Services (QoS) requirements. Develo** energy-efficient, delay …
Applications of big data analytics and machine learning in the internet of things
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 …
(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
Data collection in underwater wireless sensor networks (UWSNs) using autonomous
underwater vehicles (AUVs) is a more robust solution than traditional approaches, instead of …
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
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 …
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 …
computing by providing a specification that enables interoperability and reasoning …