Gabriel Martins Dias (Semantix SA)
Optimization of Garbage Collection using Genetic Algorithm
Alexander Melo, Aline Oliveira, and Daniel de Souza - Federal University of Uberlândia
A Simulation Study of Response Times in Cloud Environment for IoT-based Healthcare Workloads
Kavitha Kadarla, Subhash Sharma, Tushar Bhardwaj, and Ajay Chaudhary - Indian Institute of Technology Roorkee
IoT protocols for seamless integrating IoT data with external data sources
Ajay Chaudhary, Sateesh Kumar Peddoju, and Kavitha Kadarla - Indian Institute of Technology Roorkee
ORSIN: One-Request Scheme for Smart Urban Sensing in Software-Defined IoT Networks
Chao Song, Yongqiang Qi, and Ming Liu - University of Electronic Science and Technology of China
5 July 2017
21 July 2017
01 August 2017
9 August 2017
22 October 2017
Data science is an interdisciplinary field that involves techniques to acquire, store, analyze, manage and publish data. For example, data can be analyzed using machine learning, data analysis and statistics, optimizing processes and maximizing their power in larger scenarios.
In the Internet of Things (IoT), smartphones and household appliances can easily become sensor nodes and compose sensor networks, measuring environmental parameters and generating user interaction data. As sensor networks are mainly data-oriented networks, i.e., sensed data is their most valuable asset and the reason for the operation of the whole network, data science techniques have been adopted to improve the IoT in terms of data throughput, self-optimization and self-management. In fact, incorporating the lifecycle proposed by the data scientists will impact the future of the IoT, allowing researchers to reproduce scenarios, and optimize the acquisition, analysis and visualization of the data acquired by IoT devices.
This workshop will address techniques used for data management planning into IoT scenarios in order to optimize data acquisition, management and later discovery.
The 14th IEEE International Conference on Mobile Ad hoc and Sensor Systems (IEEE MASS 2017) will be held in Orlando, Florida, USA, October 22-25, 2017.
Wireless ad hoc communication has applications in a variety of environments, such as conferences, hospitals, battlefields, and disaster-recovery/rescue operations, and is also being actively investigated as an alternative paradigm for Internet connectivity in both urban and rural areas. Wireless sensor and actuator networks are also being deployed for enhancing industrial control processes and supply-chains, and for various forms of environmental monitoring. IEEE MASS 2017 aims at addressing advances in research on multihop ad hoc and sensor networks, covering topics ranging from technology issues to applications and test-bed development.
Semantix SA is a Brazilian company that invests of research, and provides consulting, training and supporting services for Big Data, Machine Learning and Internet of Things.
The Department of Information and Communication Technologies at Universitat Pompeu Fabra is a "María de Maeztu" Unit of Excellence from the Ministry of Economy and Competitiveness.