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An Edge-Based LWM2M Proxy for Device Management to Efficiently Support QoS-Aware IoT Services

1
Department of Information Engineering, University of Firenze, 50139 Firenze, Italy
2
Department of Information Engineering, University of Pisa, 56122 Pisa, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Andrea Vitaletti
IoT 2022, 3(1), 169-190; https://doi.org/10.3390/iot3010011
Received: 24 January 2022 / Revised: 18 February 2022 / Accepted: 24 February 2022 / Published: 26 February 2022
(This article belongs to the Special Issue Advanced Quality of Service Approaches in Edge Computing)
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. View Full-Text
Keywords: LWM2M Proxy; IoT; OMA LWM2M; QoS LWM2M Proxy; IoT; OMA LWM2M; QoS
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MDPI and ACS Style

Pappalardo, M.; Virdis, A.; Mingozzi, E. An Edge-Based LWM2M Proxy for Device Management to Efficiently Support QoS-Aware IoT Services. IoT 2022, 3, 169-190. https://doi.org/10.3390/iot3010011

AMA Style

Pappalardo M, Virdis A, Mingozzi E. An Edge-Based LWM2M Proxy for Device Management to Efficiently Support QoS-Aware IoT Services. IoT. 2022; 3(1):169-190. https://doi.org/10.3390/iot3010011

Chicago/Turabian Style

Pappalardo, Martina, Antonio Virdis, and Enzo Mingozzi. 2022. "An Edge-Based LWM2M Proxy for Device Management to Efficiently Support QoS-Aware IoT Services" IoT 3, no. 1: 169-190. https://doi.org/10.3390/iot3010011

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