Special Issue "Data Collection in Wireless Sensor Networks (WSN) and Internet of Things (IoT)"
Deadline for manuscript submissions: 30 November 2019
Assoc. Prof. Omer Gurewitz
The Internet of Things (IoT) aims at improving day-to-day life, ranging from smart cities to smart homes, pervasive health care, assisted living, environmental monitoring, and surveillance. The IoT paradigm relies on interconnecting a large number of assorted devices (things) linked by the Internet via heterogeneous access networks, through which they can exchange information with one or more internet gateways or sinks that can process the data, take action, and forward it to another destination if needed. The number of devices connected to the Internet utilizing the IoT paradigm has dramatically increased over recent years and is expected to exceed 30 billion connected devices by 2020 (the actual number of devices is hard to predict, and different studies envision different figures which typically span between 30 to over 40 billion devices by 2020).
Data collection and dissemination in a highly dense network such as the IoT network that spans highly heterogeneous devices, a great percentage of which are expected to be small, with very constrained processing, storage, and energy resources and with very limited network capabilities. It is highly challenging and draws significant attention from both industrial and academic communities. Some of these challenges include (i) information management—the amount of information collected or needing to be distributed between the relevant entities is enormous, and some of it is expected to be redundant, both in terms of the information sent by each device, which can be highly compressed, and in terms of duplicate information received by different entities. Accordingly, innovative techniques are required for data compression to reduce transmitted data over wireless channels, as well as aggregation techniques that exploit the redundancy between information sent by the different entities. (ii) Connectivity—collecting and disseminating data from and to so many devices will be one of the biggest challenges of the future of IoT; accordingly, novel MAC protocols and coding schemes should be devised to comply with this challenge. (iii) Data analysis and reaction—the expected vast data exchange and the low latency requirement (at least for some of the information collected) requires processing and analysis of data in real-time or near real-time, to enable timely decision making and instantaneous action taken. (iv) Security—connecting enormous numbers of devices to the internet exposes the IoT network to serious security vulnerabilities, all the more so since the relevant entities are highly limited. Accordingly, issues such as authenticity, data encryption, and vulnerability to attacks (e.g., device impersonation) are highly important for the IoT paradigm’s continuous growth. (v) Privacy—the IoT creates unique privacy challenges. Since the information transmitted over the IoT network can be highly confidential (e.g., health reports, device tracking, and activity monitoring), the collection and dissemination of this information creates challenges related to data protection and privacy.
Potential topics include but are not limited to the following:
- Architecture and protocols for data collection and dissemination in IoT
- Data acquisition
- Data reduction and compression for IoT
- Storage and management for IoT
- Big data for IoT
- MAC protocols and massive access scheme for IoT
- Network coding techniques and relay utilization for IoT networks
- IoT storage and processing techniques
- Analytic tools for IoT
- Computational and artificial intelligence algorithms for IoT
- Security, privacy, and trust in IoT
Assoc. Prof. Omer Gurewitz
Manuscript Submission Information
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