Integration of Wireless Sensor Network with Cloud

Verma, Rajesh; Gnanasekar, J. M.; Ponmagal, R.S.; Anbalagan, P.

doi:10.1109/itc.2010.88

Cited by 47 publications

(21 citation statements)

References 2 publications

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“…A recent paper [10] tried to identify the opportunities and challenges of connecting wireless sensor networks to the Cloud. Also, few papers introduced cloud computing to different WSN applications such as industrial supervision [11], patient data collection [12] [13] , energy monitoring [14] and environmental monitoring [15]. However, all these papers described preliminary works and ignored the challenges induced by combining WSN and cloud computing.…”

Section: Related Workmentioning

confidence: 99%

Healing on the cloud: Secure cloud architecture for medical wireless sensor networks

Lounis

Hadjidj

Bouabdallah

et al. 2016

Future Generation Computer Systems

111

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There has been a host of research works on wireless sensor networks (WSN) for medical applications. However, the major shortcoming of these efforts is a lack of consideration of data management. Indeed, the huge amount of high sensitive data generated and collected by medical sensor networks introduces several challenges that existing architectures cannot solve. These challenges include scalability, availability and security. Furthermore, WSNs for medical applications provide useful and real information about patients' health state. This information should be available for healthcare providers to facilitate response and to improve the rescue process of a patient during emergency. Hence, emergency management is another challenge for medical wireless sensor networks. In this paper, we propose an innovative architecture for collecting and accessing large amount of data generated by medical sensor networks. Our architecture overcomes all the aforementioned challenges and makes easy information sharing between healthcare professionals in normal and emergency situations. Furthermore, we propose an effective and flexible security mechanism that guarantees confidentiality, integrity as well as fine-grained access control to outsourced medical data. This mechanism relies on Ciphertext Policy Attributebased Encryption (CP-ABE) to achieve high flexibility and performance. Finally, we carry out extensive simulations that allow showing that our scheme provides an efficient, fine-grained and scalable access control in normal and emergency situations.

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Section: Related Workmentioning

confidence: 99%

Healing on the cloud: Secure cloud architecture for medical wireless sensor networks

Lounis

Hadjidj

Bouabdallah

et al. 2016

Future Generation Computer Systems

111

View full text Add to dashboard Cite

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“…Because profile access can be done locally and in a very energy-efficient way, we believe it matches the widest range of IoT applications. [7] via gateway single Rajesh [8] self-enabled single Hassan [9] via gateway single Mitton [2] via gateway mult. (archived data) rimware g.w.…”

Section: A Device Description For Interoperabilitymentioning

confidence: 99%

Middleware for IoT-Cloud Integration Across Application Domains

2014

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Abstract-Profile-based protocols such as Bluetooth 4.0 Low Energy (BLE) Technology have enabled very low-power devices to efficiently participate across multiple application domains in the Internet of Things (IoT). We propose a middleware layer called rimware to enable today's profile-based IoT nodes to realize the full potential of inter-application participation. First, the nodes need to be able to establish authenticated, secure connections to the cloud through trusted gateways using an adapter structure when the smartphone or tablet is not available. Second, a knowledge base in the cloud is needed to establish mapping between profiles on the device side and application semantics on the cloud side. Results show our rimware to provide a modular, extensible structure for integration across three applications while incurring minimal code size and communication overhead on BLE devices.

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“…The maximum benefit in sensor network can be achieved by the integration of sensor with cloud. This integration leads to a new technology called ''sensor cloud'' [13,14].…”

Section: Literature Reviewmentioning

confidence: 99%

Sensor Cloud: The Scalable Architecture for Future Generation Computing

Majhi

Patnaik

2014

Intelligent Computing, Networking, and Informatics

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In this paper, we propose a hybrid computational paradigm associated with cloud computing and wireless sensor network. Attempts have been made to devise a protocol that establishes communication between sensors and cloud resources. The objective is to increase the availability of real-time sensor information across the users. Further, it will be possible to share the information of various application-specific sensor network deployed at various locations. We suggest a virtualization for sensor versus cloud and cloud versus users. This will facilitate the user to visualize sensor network and cloud.

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Integration of Wireless Sensor Network with Cloud

Cited by 47 publications

References 2 publications

Healing on the cloud: Secure cloud architecture for medical wireless sensor networks

Healing on the cloud: Secure cloud architecture for medical wireless sensor networks

Middleware for IoT-Cloud Integration Across Application Domains

Sensor Cloud: The Scalable Architecture for Future Generation Computing

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