Special Issue "Ubiquitous Massive Sensing Using Smartphones"
Deadline for manuscript submissions: closed (10 July 2018).
Interests: wireless sensor networks; wireless embedded systems; IoT systems; energy-aware routing algorithms; dynamic power management strategies
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Interests: wireless sensor networks; networked embedded systems; mobile crowdsensing; graph algorithms; bioinformatics; optimization
Ubiquitous massive sensing is a new idea, consisting of using widespread available mobile devices, such as smartphones, to gather sensor data. To date, smartphones are powerful devices characterized by i) a hardware/software architecture consisting of a multi-core processors, which can perform complex computational tasks; ii) tens of gigabytes of nonvolatile memory and several gigabytes of main memory; and iii) alternative wireless communication channel, such as LTE or WiFi, which enable ubiquitous connectivity. On the other hand, they are also equipped with various sensors, such as GPS, accelerometers, microphones, cameras, temperature sensors, compasses, and so on. Moreover, other sensors, such as those integrated into mobile fitness trackers, can be connected to a smartphone through short range communication technologies like Bluetooth to access the user’s heart rate, stress level, cadence, etc. The wide spectrum of sensing capabilities, together with the high-performance hardware/software architecture, actually turn modern smartphones into powerful mobile sensor platforms and enable a new paradigm of ubiquitous and massive sensing, called crowd sensing or mobile phone sensing. Thanks to this new paradigm, we can build a mobile sensor network with an excellent coverage (especially in urban areas) without investing large amounts of resources in building dedicated sensor networks.
However, in order to construct an effective sensing network, several problems need to be addressed. First of all, we need to ensure the quality of the gathered data (both measuring accuracy and users reliability). Second, we need to preserve precious energy resources of mobile devices. Third, in order to guarantee the meaningfulness of the sensing process, we need to ensure user participation and the usability of the sensing system by offering high-level abstraction interfaces. Finally, ubiquitous massive sensing leads to several challenges, characteristic of the big data domain, such as capture, storage, analysis, search, sharing, transfer, visualization, querying, updating, and information privacy.
Potential topics include, but are not limited to:
- Data quality estimation and enhancement algorithms;
- Energy efficient techniques for data sensing and processing using smartphones;
- Source location privacy and communication privacy preserving techniques for data sensing and processing;
- Ubiquitous massive sensing platforms and system architecture;
- Big data processing techniques and platforms.
Dr. Emanuele Lattanzi
Dr. Valerio Freschi
Manuscript Submission Information
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- ubiquitous sensing
- massive sensing
- mobile sensing
- sensor networks