Application Specific Sensor-Cloud: Architectural Model

Bhanumathi, V.; Kalaivanan, K.

doi:10.1007/978-3-662-57277-1_12

Cited by 8 publications

(4 citation statements)

References 44 publications

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“…Dobrescu et al 23 proposed a Context-aware control and monitoring system as a middleware between the deployed WSNs and the cloud, in a Sensor-Cloud scenario where sensors deployed in an agricultural platform are virtualized in the cloud. The relevance in using Sensor-Cloud infrastructure in the agricultural sector is also presented in Bhanumathi and Kalaivanan 24 in a comprehensive manner that makes use of all the aspects to be enhanced by the infrastructure and the challenges that may be faced in implementing the Sensor-Cloud infrastructure in the agricultural sector. In Misra et al, 8 a reference on the potential of utilizing Sensor-Cloud in the military sector, for different Army corps (The Navy, The Air force, The Marines) applications, is included.…”

Section: Related Workmentioning

confidence: 99%

Extending CloudSim to simulate sensor networks

et al. 2022

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With the enormous growth of sensing devices tending to the use of Internet of everything, data aggregated by these devices are the biggest data streams generated in the history of IT. Thus, aggregating such data in the cloud for leveraging powerful cloud computing processing and storage is essential, and it eventually led to the emergence of Sensor-Cloud concept. This has allowed aggregation of the sensors’ data to the cloud for further processing, storage, and visualization. Furthermore, virtualization makes the sensors accessible to other end-user applications that require such data. All of these features are expected to be provided by the Sensor-Cloud invisibly, without the end-user application developer being aware of the sensor location or hardware specifications. For these reasons, a simulation platform where Sensor-Cloud infrastructure agents and components may be modeled, scheduling policies defined, and execution time assessed is essential to assure performance and quality of service. The aim of this study is to develop such a platform by enhancing CloudSim, the most well-known and powerful simulation tool for cloud computing. A user-friendly Java Script Swing-based graphical user interface (GUI) has been carefully designed and implemented for this purpose. The user can then utilize the specific interface to define the Cloudlet type as well as the scheduling on a single virtual machine. Finally, a simulation study is carried out on the platform to demonstrate its efficiency and accuracy. We were able to fully model the needed scenarios and acquire real-time results, displaying good accuracy in terms of application response time with a mean absolute percentage error (MAPE) of 3.37%, demonstrating the increased proposed platform’s proper operation.

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Section: Related Workmentioning

confidence: 99%

Extending CloudSim to simulate sensor networks

et al. 2022

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“…Wireless Sensor Networks (WSNs) are frequently used to gather data from the target region and transmit it to the sink. The capability of a sensor node to self-configure with its neighbours and build the network without human intervention is one of its key characteristics [ 2 , 3 ]. Sensor nodes are placed in the intended region to collect the physical parameters like pressure, temperature, vibration, light, humidity, etc.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Efficient T-Based Routing Topology for Target Tracking in Battery Operated Mobile Wireless Sensor Networks

Karunanithy

Idayachandran

Vetrivelan

et al. 2023

Sensors

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Real-time smart applications are now possible because to developments in communication and sensor technology. Wireless sensor networks (WSNs) are used to collect data from specific disaster sites, such as fire events, gas leaks, land mines, earthquake, landslides, etc., where it is necessary to know the exact location of the detected information to safely rescue the people. For instance, the detection and disposal of explosive materials is a difficult task because land mines consistently threaten human life. Here, the T-based Routing Topology (TRT) is suggested to gather data from sensors (metal detectors, Ground Penetrating Radars (GPR), Infra-Red sensors, etc.), Global Positioning System (GPS), and cameras in land mine-affected areas. Buried explosive materials can be found and located with high accuracy. Additionally, it will be simpler to eliminate bombs and reduce threats to humans. The efficiency of the suggested data collection method is evaluated using Network Simulator-2 (NS-2). Also, the proposed T-based routing topology requires a minimal number of nodes to cover the entire searching area and establish effective communication. In contrast, the number of nodes participating in the sensing area grows, as the depth of the tree increases in the existing tree topology-based data gathering. And for cluster topology, the number of nodes deployment depends on the transmission range of the sensor nodes.

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“…When the future Internet is considered, new technologies replace old technologies, hence, we can say that the integration of industrial business systems and the cloud concept has made the integrated SCADA systems more vulnerable compared with classical SCADA systems. In general, SCADA systems architecture contains a Human Machine Interface (HMI), hardware, software, Remote Terminal Units (RTUs), a supervisory station, sensors and actuators [5]. However, when these systems were exposed to the cloud computing and complex network environments, they became more vulnerable to cyber threats and attacks.…”

Section: Introductionmentioning

confidence: 99%