ArticleSensors (Basel, Switzerland)2019
An Enhanced Distributed Data Aggregation Method in the Internet of Things.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Live Intersection Data Acquisition for Traffic Simulators (LIDATS).Sensors (Basel, Switzerland) · 2024Article
- Energy-Efficient IoT-Based Light Control System in Smart Indoor Agriculture.Sensors (Basel, Switzerland) · 2023Article
- Towards Sustainable Distributed Sensor Networks: An Approach for Addressing Power Limitation Issues in WSNs.Sensors (Basel, Switzerland) · 2023Article
- Compression-Aware Aggregation and Energy-Aware Routing in IoT-Fog-Enabled Forest Environment.Sensors (Basel, Switzerland) · 2021Article
- Performance Analysis of Packet Aggregation Mechanisms and Their Applications in Access (e.g., IoT, 4G/5G), Core, and Data Centre Networks.Sensors (Basel, Switzerland) · 2021Review
- IoMT amid COVID-19 pandemic: Application, architecture, technology, and security.Journal of network and computer applications (Online) · 2021Review
- Collision Prevention for Duty-Cycle Receiver-Initiation MAC Protocol via Multiple Access Reservation (MAR-RiMAC).Sensors (Basel, Switzerland) · 2020Article
- An Autonomous Log Storage Management Protocol with Blockchain Mechanism and Access Control for the Internet of Things.Sensors (Basel, Switzerland) · 2020Article
- CT-RPL: Cluster Tree Based Routing Protocol to Maximize the Lifetime of Internet of Things.Sensors (Basel, Switzerland) · 2020Article
- Machine Learning for Modeling the Singular Multi-Pantograph Equations.Entropy (Basel, Switzerland) · 2020Article
- Impact of industry 4.0 to create advancements in orthopaedics.Journal of clinical orthopaedics and trauma · 2020Article
- A Distributed Testbed for 5G Scenarios: An Experimental Study.Sensors (Basel, Switzerland) · 2019Article
- Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
"Internet of Things (IoT)" has emerged as a novel concept in the world of technology and communication. In modern network technologies, the capability of transmitting data through data communication networks (such as Internet or intranet) is provided for each organism (e.g. human beings, animals, things, and so forth). Due to the limited hardware and operational communication capability as well as small dimensions, IoT undergoes several challenges. Such inherent challenges not only cause fundamental restrictions in the efficiency of aggregation, transmission, and communication between nodes; but they also degrade routing performance. To cope with the reduced availability time and unstable communications among nodes, data aggregation, and transmission approaches in such networks are designed more intelligently. In this paper, a distributed method is proposed to set child balance among nodes. In this method, the height of the network graph increased through restricting the degree; and network congestion reduced as a result. In addition, a dynamic data aggregation approach based on Learning Automata was proposed for Routing Protocol for Low-Power and Lossy Networks (LA-RPL). More specifically, each node was equipped with learning automata in order to perform data aggregation and transmissions. Simulation and experimental results indicate that the LA-RPL has better efficiency than the basic methods used in terms of energy consumption, network control overhead, end-to-end delay, loss packet and aggregation rates.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.