scholarly journals Dynamic Computation Offloading Scheme for Drone-Based Surveillance Systems

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2982 ◽  
Author(s):  
Bongjae Kim ◽  
Hong Min ◽  
Junyoung Heo ◽  
Jinman Jung
Keyword(s):  
Response Time ◽  
Target Object ◽  
Computation Offloading ◽  
Moving Target ◽  
Surveillance Systems ◽  
Network Failure ◽  
Dynamic Computation ◽  
Tracking Time ◽  
Time Required ◽  
Time Critical

Recently, various technologies for utilizing unmanned aerial vehicles have been studied. Drones are a kind of unmanned aerial vehicle. Drone-based mobile surveillance systems can be applied for various purposes such as object recognition or object tracking. In this paper, we propose a mobility-aware dynamic computation offloading scheme, which can be used for tracking and recognizing a moving object on the drone. The purpose of the proposed scheme is to reduce the time required for recognizing and tracking a moving target object. Reducing recognition and tracking time is a very important issue because it is a very time critical job. Our dynamic computation offloading scheme considers both the dwell time of the moving target object and the network failure rate to estimate the response time accurately. Based on the simulation results, our dynamic computation offloading scheme can reduce the response time required for tracking the moving target object efficiently.

Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems

2017 ◽  
Vol 64 (3) ◽  
pp. 621-628 ◽  
Author(s):  
Haik Kalantarian ◽  
Costas Sideris ◽  
Bobak Mortazavi ◽  
Nabil Alshurafa ◽  
Majid Sarrafzadeh
Keyword(s):  
Low Power ◽  
Health Monitoring ◽  
Computation Offloading ◽  
Monitoring Systems ◽  
Dynamic Computation ◽  
Health Monitoring Systems ◽  
Wearable Health Monitoring Systems

scholarly journals Differentiated Service Model-Supported Cluster-Based Routing in Wireless Sensor Networks

2020 ◽  
Vol 3 ◽  
pp. 1-9
Author(s):  
Jayashree Agarkhed ◽  
Patil Yogita Dattatraya ◽  
Siddarama R. Patil
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Multimedia Data ◽  
Wireless Sensor ◽  
Differentiated Service ◽  
Healthcare Applications ◽  
Network Failure ◽  
Critical Data ◽  
Cluster Based Routing ◽  
Time Critical

Wireless Sensor Network finds its extensive use in healthcare applications for the transfer of time-critical data through wireless connectivity. The primary cause of network failure is the transfer of time-critical multimedia data. The article presents a new differentiated service modelsupported (DSM) cluster-based routing in wireless sensor networks (WSNs) that overcomes the above issue. DSM prioritizes the transfer of different flow types based on packet type and packet size. The employment of computational offloading minimizes delay for critical and small-sized data packets and by carrying out data reduction of large-sized packets at proxy server. It outperforms the existing protocols in terms of energy efficiency, throughput, and reliability by prioritizing the transfer of time-critical health application data

scholarly journals An Extended Rule of the SysML Requirement Diagram Transformation into OWL Ontologies

2021 ◽  
Vol 14 (1) ◽  
pp. 506-515
Author(s):  
Ahmad Ashari ◽  
◽  
Anny Sari ◽  
Helna Wardhana ◽  
◽  
...  
Keyword(s):  
Response Time ◽  
System Modeling ◽  
Unified Modeling Language ◽  
Modeling Language ◽  
Functional Requirements ◽  
Unified Modeling ◽  
Object Property ◽  
Transformation Rules ◽  
Owl Ontology ◽  
Time Required

The System Modeling Language (SysML) used the Requirement Diagram to model non-functional requirements, such as response time, size, or system functionality, which cannot be accommodated in the Unified Modeling Language (UML). SysML Requirement Diagram, in its implementation, integrates with several diagrams describing the requirements, which are referred to as additional elements. The absence of transformation rules for these additional elements to become OWL ontology causes difficulties in reading, understanding, and tracking the requirements. In this research, an extended rule of the Requirement Diagram transformation is proposed to solve the problems. First, some transformation rules are defined to make requirements easier to trace and realize the ontology generation's automatic transformation. Second, the time required during transformation processing to prepare and generate the OWL file shows the proposed model's performance. The ontology components produced from this research, such as class, subclass, object property, and data property, can be viewed in Protégé.

Temporal Databases

2005 ◽  
pp. 677-682 ◽  
Author(s):  
Mahesh S. Raisinghani ◽  
Chris Klassen
Keyword(s):  
Information Systems ◽  
Response Time ◽  
Temporal Databases ◽  
Data Types ◽  
Global Marketplace ◽  
Temporal Features ◽  
Key Concepts ◽  
Time Required ◽  
Major Data

Information has emerged as an agent of integration and the enabler of new competitiveness for today’s enterprise in the global marketplace. The degree of change in the paradigm for storage of data in databases is examined to determine whether it can support the accelerated response time required for information systems and technology. This paper discusses the key concepts for understanding temporal databases, including major data types and its principal purpose. Moreover, once the temporal extension is added to existing ANSI and ISO SQL standards, it will enable users to take advantage of new temporal features in the major database products.

scholarly journals A Durable Hybrid RAM Disk with a Rapid Resilience for Sustainable IoT Devices

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2159 ◽  
Author(s):  
Sung Hoon Baek ◽  
Ki-Woong Park
Keyword(s):  
Storage System ◽  
Random Access ◽  
Solid State Drive ◽  
Storage Devices ◽  
Disk Storage ◽  
Block Level ◽  
Iot Platforms ◽  
Iot Devices ◽  
Time Required ◽  
Time Critical

Flash-based storage is considered to be a de facto storage module for sustainable Internet of things (IoT) platforms under a harsh environment due to its relatively fast speed and operational stability compared to disk storage. Although their performance is considerably faster than disk-based mechanical storage devices, the read and write latency still could not catch up with that of Random-access memory (RAM). Therefore, RAM could be used as storage devices or systems for time-critical IoT applications. Despite such advantages of RAM, a RAM-based storage system has limitations in its use for sustainable IoT devices due to its nature of volatile storage. As a remedy to this problem, this paper presents a durable hybrid RAM disk enhanced with a new read interface. The proposed durable hybrid RAM disk is designed for sustainable IoT devices that require not only high read/write performance but also data durability. It includes two performance improvement schemes: rapid resilience with a fast initialization and direct byte read (DBR). The rapid resilience with a fast initialization shortens the long booting time required to initialize the durable hybrid RAM disk. The new read interface, DBR, enables the durable hybrid RAM disk to bypass the disk cache, which is an overhead in RAM-based storages. DBR performs byte–range I/O, whereas direct I/O requires block-range I/O; therefore, it provides a more efficient interface than direct I/O. The presented schemes and device were implemented in the Linux kernel. Experimental evaluations were performed using various benchmarks at the block level till the file level. In workloads where reads and writes were mixed, the durable hybrid RAM disk showed 15 times better performance than that of Solid-state drive (SSD) itself.

Energy-Optimal Dynamic Computation Offloading for Industrial IoT in Fog Computing

2020 ◽  
Vol 4 (2) ◽  
pp. 566-576 ◽  
Author(s):  
Siguang Chen ◽  
Yimin Zheng ◽  
Weifeng Lu ◽  
Vijayakumar Varadarajan ◽  
Kun Wang
Keyword(s):  
Fog Computing ◽  
Computation Offloading ◽  
Industrial Iot ◽  
Dynamic Computation ◽  
Optimal Dynamic
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