ArticleSensors (Basel, Switzerland)2017
A Location-Based Interactive Model of Internet of Things and Cloud (IoT-Cloud) for Mobile Cloud Computing Applications.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Provably Secure Lightweight Mutual Authentication and Key Agreement Scheme for Cloud-Based IoT Environments.Sensors (Basel, Switzerland) · 2023Article
- Handheld Device-Based Indoor Localization with Zero Infrastructure (HDIZI).Sensors (Basel, Switzerland) · 2022Article
- Multilevel Central Trust Management Approach for Task Scheduling on IoT-Based Mobile Cloud Computing.Sensors (Basel, Switzerland) · 2021Article
- Using Embedded Feature Selection and CNN for Classification on CCD-INID-V1-A New IoT Dataset.Sensors (Basel, Switzerland) · 2021Article
- Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis.Sensors (Basel, Switzerland) · 2020Review
- Design and Implementation of High-Availability Architecture for IoT-Cloud Services.Sensors (Basel, Switzerland) · 2019Article
- Energy-Efficient IoT Service Brokering with Quality of Service Support.Sensors (Basel, Switzerland) · 2019Article
- Answering the Min-Cost Quality-Aware Query on Multi-Sources in Sensor-Cloud Systems.Sensors (Basel, Switzerland) · 2018Article
- A Distributed NFV-Enabled Edge Cloud Architecture for ICN-Based Disaster Management Services.Sensors (Basel, Switzerland) · 2018Article
- Adaptable and Automated Small UAV Deployments via Virtualization.Sensors (Basel, Switzerland) · 2018Article
- An Efficient Availability Guaranteed Deployment Scheme for IoT Service Chains over Fog-Core Cloud Networks.Sensors (Basel, Switzerland) · 2018Article
- Collaborative Working Architecture for IoT-Based Applications.Sensors (Basel, Switzerland) · 2018Article
- A General Cross-Layer Cloud Scheduling Framework for Multiple IoT Computer Tasks.Sensors (Basel, Switzerland) · 2018Article
- A Comparative Study on Two Typical Schemes for Securing Spatial-Temporal Top-k Queries in Two-Tiered Mobile Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2018Article
- An Energy-Efficient Approach to Enhance Virtual Sensors Provisioning in Sensor Clouds Environments.Sensors (Basel, Switzerland) · 2018Article
- A Fine-Grained and Privacy-Preserving Query Scheme for Fog Computing-Enhanced Location-Based Service.Sensors (Basel, Switzerland) · 2017Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents a location-based interactive model of Internet of Things (IoT) and cloud integration (IoT-cloud) for mobile cloud computing applications, in comparison with the periodic sensing model. In the latter, sensing collections are performed without awareness of sensing demands. Sensors are required to report their sensing data periodically regardless of whether or not there are demands for their sensing services. This leads to unnecessary energy loss due to redundant transmission. In the proposed model, IoT-cloud provides sensing services on demand based on interest and location of mobile users. By taking advantages of the cloud as a coordinator, sensing scheduling of sensors is controlled by the cloud, which knows when and where mobile users request for sensing services. Therefore, when there is no demand, sensors are put into an inactive mode to save energy. Through extensive analysis and experimental results, we show that the location-based model achieves a significant improvement in terms of network lifetime compared to the periodic model.
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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.