Selected Articles from IEEE Xplore - June 2015
Introduction by Igor Bisio, Assistant Professor, Department of Telecommunication, Electronic, Electrical Engineering and Naval Architecture, University of Genoa; IEEE Senior Member
One of the ambitions of the Internet of Things (IoT) is to reinvent the communication paradigm of mobile devices, enabling an individual to communicate with oneself. The impact will be to change the way in which people use mobile devices for communications. Indeed, the vision related to the aforementioned ambition is that the IoT will not only be employed for connecting people, but also for connecting oneself. This possibility opens the door to enhance individuals' well-being and, more generally, their Quality of Life (QoL), by augmenting individual and social experience in several fields of interest, such as international, economical and social development, healthcare, security and politics.
Individual or social measures of well-being cannot be interpreted without understanding the context. The signal processing discipline applied to the IoT can efficiently fill such gaps by offering solutions to compute the context, thus making data more understandable and reflective. In this framework, the key function is the ability of acquiring personal information (i.e., human factors) simultaneously with the information from the social and physical context that constitutes the environment.
For this reason, this month's IEEE Xplore articles delve into the sensing issue in the IoT. The first paper discusses the common work in the IoT aimed at collecting sensor data and highlights the challenges to acquire, store, and transmit a large amount of raw data/information. The paper proposes Compressed Sensing as an efficient solution to convey information from the IoT.
The second work highlights the key role of data analytics techniques to transform raw data into insightful information, which, in turn, can make IoT really helpful to our lives.
The third paper discusses the Outlier Detection for temporal data and show its main role in many IoT information processing problems including (anomalous) event detection, system diagnosis, health monitoring, faulty sensor data discovery/recovery.
The selected IEEE Xplore articles, which address the aforementioned issues, are listed below:
IEEE Xplore References
- Q. Wu et al., "Cognitive Internet of Things: A New Paradigm Beyond Connection," in IEEE Internet of Things Journal, vol. 1, no. 2, pp. 129-143, April 2014.
- M. Gupta, J. Gao, C. C. Aggarwal and J. Han, "Outlier Detection for Temporal Data: A Survey," in IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 9, pp. 2250-2267, Sept. 2014.
- S. Li, L. D. Xu and X. Wang, "Compressed Sensing Signal and Data Acquisition in Wireless Sensor Networks and Internet of Things," in IEEE Transactions on Industrial Informatics, vol. 9, no. 4, pp. 2177-2186, Nov. 2013.
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