A Constrained Application Protocol (CoAP) Usage for REsource LOcation And Discovery (RELOAD)

Camarillo, Gonzalo; Lopez-Vega, Jose M.; Maenpaa, Jouni; Jiménez, Jaime

doi:10.17487/rfc7650

Cited by 7 publications

(8 citation statements)

References 8 publications

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“…Recently, a SIP Usage for RELOAD has been defined in [13]. In [5], a CoAP Usage has also been proposed that defines a pluggable application layer for constrained networks. This CoAP Usage allows a P2P overlay network to be built, where devices would store their available resources, allowing federation of sensor networks.…”

Section: Reloadmentioning

confidence: 99%

“…This allows one to find which resources are served by a RELOAD node, by making a fetching using the hash of the corresponding URI. Besides this, resources from multiple RELOAD nodes can be fetched if these nodes perform a store to the same resource [5]. This is possible because the data model being used is dictionary.…”

Section: A Motivationmentioning

confidence: 99%

“…Also withing IETF, the Constrained RESTful Environments (CoRE) working group has focused on the development of Constraint Application Protocol (CoAP), a Web application transfer protocol intended to provide RESTful services in constrained nodes and networks [3]. More recently, a CoAP Usage for REsource LOcation And Discovery (RELOAD) base protocol has been proposed [4], [5]. RELOAD provides a generic selforganizing Peer-to-Peer (P2P) overlay network service, and CoAP Usage for RELOAD allows CoAP nodes to store resources in a RELOAD P2P overlay network.…”

Section: Introductionmentioning

confidence: 99%

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RELOAD/CoAP architecture with resource aggregation/disaggregation service

Rodrı́gues

Guerreiro

Correia

2016

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-M2M communication is expected to occur at a global level and for this reason federations of device networks are also expected. In such large scale environments, a critical issue is how to discover the available resources in a scalable manner. For this purpose CoAP Usage for RELOAD, a generic selforganizing P2P overlay network service, has been proposed to be used as a lookup service, to store available resources and as a cache for sensor data. However, such approach alone does not allow building an aggregate resource hierarchy, a very relevant issue for an efficient organization of data in future IoT applications. Here we address this issue and propose an architecture incorporating a resource aggregation/disaggregation service.

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Section: Reloadmentioning

confidence: 99%

Section: A Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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RELOAD/CoAP architecture with resource aggregation/disaggregation service

Rodrı́gues

Guerreiro

Correia

2016

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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“…New applications can utilize RELOAD by defining new usages. Our architecture makes use of a CoAP usage for RELOAD that we have proposed in [3]. This usage allows a RELOAD overlay to be used as a distributed rendezvous, storage, and NAT traversal service for CoAP endpoints.…”

Section: Technologies a Coap Usage For Reload (Coap-reload)mentioning

confidence: 99%

“…The mechanism combines SOMs, P2P technologies, and emerging IETF standards, including CoAP [1], RELOAD [2], and the recently proposed CoAP usage for RELOAD (CoAP-RELOAD) [3]. The use of SOMs and P2P technologies enables WASNs that are fully autonomous and self-configuring.…”

Section: Introductionmentioning

confidence: 99%

Using SOMs and CoAP-RELOAD to enable autonomous wide area sensor networks

Maenpaa

2013

2013 IEEE 10th Consumer Communications and Networking Conference (CCNC)

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This paper presents a novel self-learning data classification mechanism for wide area sensor networks. The mechanism combines Self-Organizing Maps (SOMs), P2P technologies, and emerging Internet Engineering Task Force (IETF) standards, including the Constrained Application Protocol (CoAP), REsource LOcation And Discovery (RELOAD), and the CoAP usage for RELOAD (CoAP-RELOAD). Sensor nodes participating in our system organize in a RELOAD-based P2P overlay network. Nodes sharing similar properties further organize in P2P data sharing groups and share data using CoAP. To achieve self-learning and self-configuration, our mechanism utilizes SOMs. P2P data sharing is used to speed up the training of SOMs. The mechanism makes use of two levels of SOMs, one for filtering and one for classification. We evaluate the performance of the mechanism through simulations and measurements and show that the mechanism enables a considerable performance improvement and is feasible to run on embedded systems.

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