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Keywords = LWM2M Proxy

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22 pages, 4753 KB  
Article
An Edge-Based LWM2M Proxy for Device Management to Efficiently Support QoS-Aware IoT Services
by Martina Pappalardo, Antonio Virdis and Enzo Mingozzi
IoT 2022, 3(1), 169-190; https://doi.org/10.3390/iot3010011 - 26 Feb 2022
Cited by 7 | Viewed by 5975
Abstract
The Internet of Things (IoT) brings Internet connectivity to devices and everyday objects. This huge volume of connected devices has to be managed taking into account the severe energy, memory, processing, and communication constraints of IoT devices and networks. In this context, the [...] Read more.
The Internet of Things (IoT) brings Internet connectivity to devices and everyday objects. This huge volume of connected devices has to be managed taking into account the severe energy, memory, processing, and communication constraints of IoT devices and networks. In this context, the OMA LightweightM2M (LWM2M) protocol is designed for remote management of constrained devices, and related service enablement, through a management server usually deployed in a distant cloud data center. Following the Edge Computing paradigm, we propose in this work the introduction of a LWM2M Proxy that is deployed at the network edge, in between IoT devices and management servers. On one hand, the LWM2M Proxy improves various LWM2M management procedures whereas, on the other hand, it enables the support of QoS-aware services provided by IoT devices by allowing the implementation of advanced policies to efficiently use network, computing, and storage (i.e., cache) resources at the edge, thus providing benefits in terms of reduced and more predictable end-to-end latency. We evaluate the proposed solution both by simulation and experimentally, showing that it can strongly improve the LWM2M performance and the QoS of the system. Full article
(This article belongs to the Special Issue Advanced Quality of Service Approaches in Edge Computing)
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