* Learn about the key requirements and challenges of effective data collection and sharing in resource constrained environments * Understand why existing protocols are ill suited to address these constrained environments * Learn about an upcoming standard that is defining the most wire-efficient and feature rich protocol available yet and get a chance to influence its future
Recent innovations in Low-Power Wireless Personal Area Networks (LoWPAN) and Low-Power Wide Area Networks (LPWAN) are enabling connectivity for a large class of applications that previously could not afford the cost of or the power implications.
These innovations in networking have not been matched by innovations in the higher-level protocols used to collect/share data. As a result, applications that leverage these low-power networks are often crafting custom messaging layers.
DDS-XRCE (DDS for eXtremely Resource Constrained Environments) is an upcoming standard that aims to provide a zero-cost high level data-sharing protocol for these constrained environments.
This webcast will explain the unique technical challenges introduced by constrained environments and (1) explain why existing standards are seldom applicable, (2) introduce DDS-XRCE and explain how it optimally addresses constrained environments, and (3) provide a comparison with existing constrained protocols such as CoAP.
Angelo Corsaro, Ph.D. is Chief Technology Officer (CTO) at ADLINK Technology Inc. As CTO he looks after technology strategy and innovation for ADLINK’s Industrial Internet of Things (IIoT) Platform. Angelo also serves as PrismTech (an ADLINK company) CTO, where he looks after technology strategy and innovation for PrismTech's Vortex IIoT data sharing platform. Angelo leads the strategic standardization at the Object Management Group (OMG), where he co-chairs the Data Distribution Service (DDS) Special Interest Group. Before joining PrismTech, Angelo was working as a Scientist at the SELEX-SI and FINMECCANICA Technology Directorate. There, he was responsible for the corporate middleware strategy, for strategic standardization, and R&D collaborations with top Universities. Angelo is a well-known and cited expert in the area of high performance and large scale distributed systems with 100s of publications for referred journal, conferences, workshops, and magazines. Angelo received a Ph.D. and a M.S. in Computer Science from the Washington University in St. Louis, and a Laurea Magna cum Laude in Computer Engineering from the University of Catania, Italy.