A Lightweight Network Discovery Algorithm for Resource-constrained IoT Devices

Risultato della ricerca: Paper

1 Citazione (Scopus)

Abstract

Although quite simple, existing protocols for the IoT suffer from the inflexibility of centralized infrastructures and require several configuration stages. The implementation of these protocols is often prohibitive on resource-constrained devices. In this work, we propose a distributed lightweight implementation of network discovery for simple IoT devices. Our approach is based on the exchange of symbolic executable code among nodes. Based on this abstraction, we propose an algorithm that makes even IoT resource-constrained nodes able to construct the network topology graph incrementally and without any a priori information about device positioning and presence. The minimal set of executable symbols to be defined on the devices is identified and simulation results for different topologies are reported.
Lingua originaleEnglish
Stato di pubblicazionePublished - 2019

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cita questo

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title = "A Lightweight Network Discovery Algorithm for Resource-constrained IoT Devices",
abstract = "Although quite simple, existing protocols for the IoT suffer from the inflexibility of centralized infrastructures and require several configuration stages. The implementation of these protocols is often prohibitive on resource-constrained devices. In this work, we propose a distributed lightweight implementation of network discovery for simple IoT devices. Our approach is based on the exchange of symbolic executable code among nodes. Based on this abstraction, we propose an algorithm that makes even IoT resource-constrained nodes able to construct the network topology graph incrementally and without any a priori information about device positioning and presence. The minimal set of executable symbols to be defined on the devices is identified and simulation results for different topologies are reported.",
author = "Salvatore Gaglio and {Lo Re}, Giuseppe and Daniele Peri and Gloria Martorella",
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T1 - A Lightweight Network Discovery Algorithm for Resource-constrained IoT Devices

AU - Gaglio, Salvatore

AU - Lo Re, Giuseppe

AU - Peri, Daniele

AU - Martorella, Gloria

PY - 2019

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N2 - Although quite simple, existing protocols for the IoT suffer from the inflexibility of centralized infrastructures and require several configuration stages. The implementation of these protocols is often prohibitive on resource-constrained devices. In this work, we propose a distributed lightweight implementation of network discovery for simple IoT devices. Our approach is based on the exchange of symbolic executable code among nodes. Based on this abstraction, we propose an algorithm that makes even IoT resource-constrained nodes able to construct the network topology graph incrementally and without any a priori information about device positioning and presence. The minimal set of executable symbols to be defined on the devices is identified and simulation results for different topologies are reported.

AB - Although quite simple, existing protocols for the IoT suffer from the inflexibility of centralized infrastructures and require several configuration stages. The implementation of these protocols is often prohibitive on resource-constrained devices. In this work, we propose a distributed lightweight implementation of network discovery for simple IoT devices. Our approach is based on the exchange of symbolic executable code among nodes. Based on this abstraction, we propose an algorithm that makes even IoT resource-constrained nodes able to construct the network topology graph incrementally and without any a priori information about device positioning and presence. The minimal set of executable symbols to be defined on the devices is identified and simulation results for different topologies are reported.

UR - http://hdl.handle.net/10447/354794

UR - https://ieeexplore.ieee.org/document/8685589

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