ArticleSensors (Basel, Switzerland)2016
An Efficient Interactive Model for On-Demand Sensing-As-A-Servicesof Sensor-Cloud.
Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Data Gathering Techniques in WSN: A Cross-Layer View.Sensors (Basel, Switzerland) · 2022Review
- SASC: Secure and Authentication-Based Sensor Cloud Architecture for Intelligent Internet of Things.Sensors (Basel, Switzerland) · 2020Article
- A Distributed NFV-Enabled Edge Cloud Architecture for ICN-Based Disaster Management Services.Sensors (Basel, Switzerland) · 2018Article
- An Efficient Availability Guaranteed Deployment Scheme for IoT Service Chains over Fog-Core Cloud Networks.Sensors (Basel, Switzerland) · 2018Article
- An Energy-Efficient Approach to Enhance Virtual Sensors Provisioning in Sensor Clouds Environments.Sensors (Basel, Switzerland) · 2018Article
- A Location-Based Interactive Model of Internet of Things and Cloud (IoT-Cloud) for Mobile Cloud Computing Applications.Sensors (Basel, Switzerland) · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper proposes an efficient interactive model for the sensor-cloud to enable the sensor-cloud to efficiently provide on-demand sensing services for multiple applications with different requirements at the same time. The interactive model is designed for both the cloud and sensor nodes to optimize the resource consumption of physical sensors, as well as the bandwidth consumption of sensing traffic. In the model, the sensor-cloud plays a key role in aggregating application requests to minimize the workloads required for constrained physical nodes while guaranteeing that the requirements of all applications are satisfied. Physical sensor nodes perform their sensing under the guidance of the sensor-cloud. Based on the interactions with the sensor-cloud, physical sensor nodes adapt their scheduling accordingly to minimize their energy consumption. Comprehensive experimental results show that our proposed system achieves a significant improvement in terms of the energy consumption of physical sensors, the bandwidth consumption from the sink node to the sensor-cloud, the packet delivery latency, reliability and scalability, compared to current approaches. Based on the obtained results, we discuss the economical benefits and how the proposed system enables a win-win model in the sensor-cloud.
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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.