0000000000916751
AUTHOR
Janis Judvaitis
Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017
Technologies, such as Wireless Sensor Networks (WSN) and Internet of Things (IoT), have captured the imagination of researchers, businesses, and general public, due to breakthroughs in embedded system development, sensing technologies, and ubiquitous connectivity in recent years. That resulted in the emergence of an enormous, difficult-to-navigate body of work related to WSN and IoT. In an ongoing research effort to highlight trends and developments in these technologies and to see whether they are actually deployed rather than subjects of theoretical research with presumed potential use cases, we gathered and codified a dataset of scientific publications from a five-year period from 2013 t…
SEAL: A Domain-Specific Language for Novice Wireless Sensor Network Programmers
A lot of the prospective wireless sensor network users are novice programmers. Their experience in general-purpose programming languages is either limited or completely nonexistent. There are both financial and scientific incentives to empower these users and allow them to write sensor network applications on their own, rather than having to rely on a qualified computer science professional. We present SEAL, a sensor network programming language designed for novice programmers. SEAL manages to avoid computer science concepts that are hard to grasp for novices, while remaining suitable for typical sensor network application scenarios. The language is extensible in application-specific way, h…
SADmote: A Robust and Cost-Effective Device for Environmental Monitoring
Time to deployment for wireless sensor networks could be reduced by using commercial sensor nodes. However, this may lead to suboptimal flexibility, power consumption and cost of the system. Our pilot deployment for precision agriculture and fruit growing research showed similar conclusions and outlined the design decisions leading to SADmote: a new sensor node for environmental monitoring. It was evaluated both in the lab and field, showing improved energy consumption over commercial solutions such as Tmote Sky and Waspmote.