Special Issue "Advances in Body Sensor Networks: Sensors, Systems, and Applications"
Deadline for manuscript submissions: 31 March 2017
Prof. Dr. Giancarlo Fortino
A wireless body sensor network (or simply BSN) is a networked collection of wearable (programmable) sensor nodes that can communicate among themselves and also with other smart devices and other ambient sensors. The sensor nodes have computation, storage, wireless transmission, and sensing capabilities. Common physiological sensed signals/data include body motion, skin temperature, heart rate, skin conductivity, brain and muscle activities, and biomarkers. To perform both online and offline analyses of data streams, BSNs were recently assisted by cloud computing-based infrastructures providing flexible storage and scalable processing. A wide range of application scenarios is enabled by BSN technologies, even though m-Health applications probably represent the most emblematic and diffused example. Specifically, BSN-based systems can be used to directly monitor several vital signs continuously and non-invasively, as tiny wireless sensors are placed on the skin and sometimes integrated with the garments. Such signals can allow inferring the onset or progression of different diseases at an early stage or supporting rehabilitation. Moreover, BSNs are strategic enablers for many other application domains such as: e-Sport, e-Fitness, e-Wellness, and e-Social. However, many issues still exist in the BSN research area from several points of view: hardware (e.g., new biosensor boards), communications (e.g. more efficient MAC-level protocols), distributed software systems (e.g., collaborative smartphone- and/or BSN-based platforms), and novel applications including advanced data processing algorithms.
In this Special Issue we aim at dealing with the aforementioned issues and, in particular, we are mainly interested in the following topics:
- Novel biosensor architectures
- Energy-efficient protocols for body sensor networks
- Frameworks for context-aware body sensor networks
- Cloud-assisted body sensor networks
- Virtualization of wearable devices and systems
- Information fusion algorithms for body sensor networks data
- Body sensor networks for emotion-aware computing and systems
- Activity recognition based on body sensor networks
- Interconnection, integration, interoperability issues
- Smart body area networks and Internet of Things
- Applications for BSNs in strategic domains (e.g. healthcare, sport/fitness, logistics, manufacturing, emergency response, military, etc.)
Prof. Giancarlo Fortino
Dr. Hassan Gasemzadeh
Prof. Wenfeng Li
Dr. Yin Zhang
Prof. Luca Benini
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed Open Access monthly journal published by MDPI.
- Body Area Networks
- Multi-sensor Fusion Algorithms
- Distributed Architectures
- Emotion-Aware Wearable Systems
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Secure Device Pairing Protocol based on Wireless Channel Characteristics for Body Area Networks
Author: Chitra Javali (email@example.com)
Abstract: The increased usage of wireless body area networks (WBANs) in healthcare applications underscores the importance of secure communication among the body sensor devices. Associating a device with an existing network poses a major challenge. We present SeAK, a secure light-weight device pairing protocol for WBAN based on received signal strength (RSS) obtained by dual-antenna transceivers utilizing spatial diversity. Our extensive experimental results demonstrate that SeAK - securely authenticates a nearby device and generates a 128-bit secret key in 640 msec, and achieves 100% key agreement, an entropy of ~ 0.98 - 0.99 bits, and mutual information of 0.9896 - 0.9982 bits between the legitimate devices.