Abstract: IoT service layer capabilities may be employed to automate and simplify the service enrollment process for IoT service subscribers/enrollees. These capabilities enable virtualization of a service subscriber and the physical IoT devices, applications, data and authorized users of the subscriber into a software profile that is representative of the subscriber. Once virtualized, a service subscriber may then delegate the complexities and burden of service enrollment to an automated IoT service enrollment software function.

Abstract: Methods, devices, and systems are disclosed for an M2M Interest Function. An M2M Interest Function may receive requests from users to publish the users' personal interests in particular data identify relationships and patterns in the data. Associated data may then be stored in a single best location for such data based on various criteria rather than on separate M2M Gateways or M2M Servers. This location may be provided to users interested in such data. Relationship and association data may be provided to M2M gateways.

Abstract: Lightweight, dynamic mechanisms are provided to support service layer interworking and resource extensibility. For example, one mechanism disclosed herein comprises defining a new service layer (SL) resource definition registration procedure that allows for specifying custom attributes of service layer resources to represent third party technology resources. A second mechanism disclosed herein comprises defining a new SL data model mapping registration procedure to map service layer resources to third party data models and to provide a new interworked retargeting indicator to the service layer. Further, a third mechanism disclosed herein comprises defining a SL generic interworking procedure to intelligently retarget requests toward interworked resources based on the interworked retargeting indicator provided by the data model mapping.

Abstract: Some underlying networks such as Low-Power Wide-Area Networks (LPWAN) have limited communication bandwidth and strict requirements on maximum message size. It is recognized herein that these requirements may pose a challenge for data or resource exchange between two service layer (SL) entities, for example, because resource representations to be exchanged may have too large a size to be supported by the underlying networks. In some cases, traditional data compression algorithms can be used to alleviate this problem to some degree, but it is recognized herein that there are associated computation costs due to compression and decompression that may not be affordable for constrained IoT devices. Various embodiments described herein address this problem, among others, by defining a Resource Representation Common Part (RRCP) and storing it at the service layer. In some cases, the RRCP is not transmitted between SL entities, thereby reducing SL message sizes to cater to the constraints of underlying networks.

Abstract: Methods and apparatuses are described herein for an automated product management (APM) service. An apparatus may receive from a second apparatus, at least one first request to enroll a third apparatus with a service layer associated with the second apparatus. The apparatus may send a second request to verify authenticity of the third apparatus and to generate a customized firmware or software for the third apparatus. The apparatus may send a third request to configure the third apparatus based on consent of a user of the third apparatus. The apparatus may send a response indicating whether the third apparatus has been enrolled with the service layer. The apparatus may receive a fourth request to diagnose or troubleshoot the third apparatus and a fifth request comprising information and the consent and requesting the fourth apparatus to perform at least one operation on the third apparatus.

Abstract: A set of point-of-contact information including a service level identifier, an address, a list of interfaces, and a set of interface selection preferences for each of several entities may be used to facilitate communications among the entities by selecting a preferred interface in accordance with the set. Interface preferences may also be derived from a set of policies. The preferred interface may be resolved in accordance with the preferences of multiple entities. Messages may include an interface type parameter to be used for forwarding of the message, and message forwarding may be resolved in accordance with the parameter and the messages.

Abstract: Systems and methods are described herein to automate managing of service layer operations comprised of multiple elementary operations and offloading the burden of performing such multi-step operations from a requesting entity to the service layer. A Request Abstraction Service (RAS) is described herein for the autonomous execution of such multi-step operations. Methods and apparatuses are also described herein for a service layer framework for integrating generic and functional user interfaces as services managed by the SL on behalf of requesting entities.

Abstract: Internet of Things (IoT) event objects can be tailored to specific device types and capabilities. An IoT event object can use a flexible definition of an event that can be reconfigured. An IoT event object allows for the ability to set different triggering conditions and priorities. Individual event definitions can be extended to create more complex events. A Notification Handler supports sending a request or command in response to an event that requires action.

Abstract: Internet of Things (IoT) configurable event and action sequencing mechanisms for interconnecting various IoT events together to achieve an event and action sequencing process that may efficiently enable complex uses of the data available in IoT systems.

Abstract: Mechanisms support machine-to-machine service layer sessions that can span multiple service layer hops where a machine-to-machine service layer hop is a direct machine-to-machine service layer communication session between two machine-to-machine service layer instances or between a machine-to-machine service layer instance and a machine-to-machine application. Mechanisms are also disclosed that illustrate machine-to-machine session establishment procedures for oneM2M Session Management Service supporting multiple resources.

Abstract: An Authorization Verification Service (AVS) is disclosed that may be provided by an IoT/M2M service layer to registrants of the service layer for Dynamic Context Aware Authorization. The AVS may allow the IoT/M2M service layer entities to define dynamic limits for authorizing access to services or data. The limits may be set, for example, in terms of the number of allowed accesses. When an IoT/M2M registrant makes a request for data or services for which it has dynamic context aware authorization, the AVS may maintain records of the remaining accesses available.

Abstract: A lightweight and extensible information model for machine-to-machine systems is disclosed. A service layer information management architecture uses three categories of atomic objects, subjects, actions, and descriptions. Information for use within the model is built using the atomic information objects. Application programming interfaces are used to perform operations and information processing by different nodes. Common service functions are used in the model as instances of a generic common service information model.

Abstract: Disclosed are methods and systems for Semantics Node functions which provide semantics support in machine-to-machine systems. In an example, a Semantic node may manage semantics resources capable of being discovered, retrieved, or validated by other devices. In another example, the Semantics Node may be discovered by other nodes, and semantics resources may be discovered with subscription mechanisms.

Abstract: The service layer may leverage the access network infrastructure so that applications on a device may bootstrap with a machine-to-machine server without requiring provisioning beyond what is already required by the access network.

Abstract: A service layer may be configured to offload requests and responses on behalf of IoT applications in order to reduce congestion and/or overhead on underlying networks, applications and devices. The service layer may be enabled with the capability to script and generate IoT application requests such that the requests can be initiated by the service layer without the IoT application having to re-issue the same request repeatedly (e.g., to periodically retrieve a sensor reading). This scripting may be initiated by request originators. The service layer may support the capability to monitor and detect repetitive request patterns and initiate the scripting itself. This scripting functionality may enable the service layer to perform operations on behalf of IoT applications. As a result, the messaging overhead on IoT applications and devices as well as underlying networks can be minimized.

Abstract: The concept of a service layer message template is introduced, which may be a request template or a response template. Message templates may be created and stored at the service layer. Each message template may contain a set of request or response parameters and their values. Once in place, an application can send a request to the service layer that does not include the request parameters contained in the message template (i.e. request template); instead, a message template identifier may be sent. Since request parameters are included in the message template and stored at the service layer, communication overhead between the service layer and the application (or another service layer) may be reduced.

Abstract: Systems and methods are described herein to automate managing of service layer operations comprised of multiple elementary operations and offloading the burden of performing such multi-step operations from a requesting entity to the service layer. A Request Abstraction Service (RAS) is described herein for the autonomous execution of such multi-step operations. Methods and apparatuses are also described herein for a service layer framework for integrating generic and functional user interfaces as services managed by the SL on behalf of requesting entities.

Abstract: Mechanisms support machine-to-machine service layer sessions that can span multiple service layer hops where a machine-to-machine service layer hop is a direct machine-to-machine service layer communication session between two machine-to-machine service layer instances or between a machine-to-machine service layer instance and a machine-to-machine application. Mechanisms are also disclosed that illustrate machine-to-machine session establishment procedures for oneM2M Session Management Service supporting multiple resources.

Abstract: Methods, system, and apparatuses may support end-to-end (E2E) quality of service (QoS) through the use of service layer (SL) sessions. For example, an application can communicate with a targeted device based on application specified schedule, latency, jitter, error rate, throughput, level of security, and cost requirements.

Abstract: Internet of Things (IoT) configurable event and action sequencing mechanisms for interconnecting various IoT events together to achieve an event and action sequencing process that may efficiently enable complex uses of the data available in IoT systems.