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

The Internet of Things (IoT) brings connectivity to devices and everyday objects. This huge volume connected has be managed taking into account the severe energy, memory, processing, communication constraints IoT networks. In this context, OMA LightweightM2M (LWM2M) protocol is designed for remote management constrained devices, related service enablement, through a server usually deployed in distant cloud data center. Following Edge Computing paradigm, we propose work introduction LWM2M Proxy that at network edge, between servers. On one hand, improves various procedures whereas, on other it enables support QoS-aware services provided by allowing implementation advanced policies efficiently use network, computing, storage (i.e., cache) resources thus providing benefits terms reduced more predictable end-to-end latency. We evaluate proposed solution both simulation experimentally, showing can strongly improve performance QoS system.