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OMA Lightweight M2M (LwM2M) is a protocol from the Open Mobile Alliance for machine to machine (M2M) or Internet of things (IoT) device management and service enablement. [1] The LwM2M standard defines the application layer communication protocol between an LwM2M Server and an LwM2M Client which is located in an IoT device.
Cross-layer optimization is an escape from the pure waterfall-like concept of the OSI communications model with virtually strict boundaries between layers. The cross layer approach transports feedback dynamically via the layer boundaries to enable the compensation for overload, latency or other mismatch of requirements and resources by any control input to another layer, but that layer ...
The DLMS User Association defines the protocols into a set of four specification documents namely Green Book, Yellow Book, Blue Book and White Book. The Blue Book describes the COSEM meter object model and the OBIS object identification system, the Green Book describes the architecture and protocols, the Yellow Book treats all the questions ...
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The "Managed" column indicates whether the protocol is designed for managed file transfer (MFT). MFT protocols prioritise secure transmission in industrial applications that require such features as auditable transaction records, monitoring, and end-to-end data security. Such protocols may be preferred for electronic data interchange. [38]
Software Communications Architecture (SCA) – components for embedded systems, cross-language, cross-transport, cross-platform; Windows Communication Foundation (WCF) XPCOM (Cross Platform Component Object Model) – developed by Mozilla for applications based on it (e.g. Mozilla Application Suite, SeaMonkey 1.x)
AMQP is a binary application layer protocol, designed to efficiently support a wide variety of messaging applications and communication patterns. It provides flow controlled, [3] message-oriented communication with message-delivery guarantees such as at-most-once (where each message is delivered once or never), at-least-once (where each message is certain to be delivered, but may do so ...
2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system. A map generated by a SLAM Robot. Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.