Abstract: Recent standardization efforts on low-power wireless communication technologies, including time-slotted channel hopping (TSCH) and DASH7 Alliance Mode (D7AM), are starting to change industrial sensing applications, enabling networks to scale up to thousands of nodes whilst achieving high reliability. Past technologies, such as ZigBee, rooted in IEEE 802.15.4, and ISO 18000-7, rooted in frame-slotted ALOHA (FSA), are based on contention medium access control (MAC) layers and have very poor performance in dense networks, thus preventing the Internet of Things (IoT) paradigm from really taking off. Industrial sensing applications, such as those being deployed in oil refineries, have stringent requirements on data reliability and are being built using new standards. Despite the benefits of these new technologies, industrial shifts are not happening due to the enormous technology development and adoption costs and the fact that new standards are not well-known and completely understood. In this article, we provide a deep analysis of TSCH and D7AM, outlining operational and implementation details with the aim of facilitating the adoption of these technologies to sensor application developers.
This is an open access article distributed under the
Creative Commons Attribution License which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Export to BibTeX
MDPI and ACS Style
Vilajosana, X.; Tuset-Peiro, P.; Vazquez-Gallego, F.; Alonso-Zarate, J.; Alonso, L. Standardized Low-Power Wireless Communication Technologies for Distributed Sensing Applications. Sensors 2014, 14, 2663-2682.
Vilajosana X, Tuset-Peiro P, Vazquez-Gallego F, Alonso-Zarate J, Alonso L. Standardized Low-Power Wireless Communication Technologies for Distributed Sensing Applications. Sensors. 2014; 14(2):2663-2682.
Vilajosana, Xavier; Tuset-Peiro, Pere; Vazquez-Gallego, Francisco; Alonso-Zarate, Jesus; Alonso, Luis. 2014. "Standardized Low-Power Wireless Communication Technologies for Distributed Sensing Applications." Sensors 14, no. 2: 2663-2682.