Lookup Service for Fog-based Indoor Localization Platforms using Chord Protocol
Autor: | Amir Guidara, Faouzi Derbel, Ghofrane Fersi |
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Rok vydání: | 2020 |
Předmět: |
Service (systems architecture)
business.industry Smart objects Computer science Real-time computing Process (computing) 020206 networking & telecommunications 02 engineering and technology Power (physics) Set (abstract data type) 0202 electrical engineering electronic engineering information engineering Wireless 020201 artificial intelligence & image processing Enhanced Data Rates for GSM Evolution Chord (peer-to-peer) business |
Zdroj: | IWCMC |
DOI: | 10.1109/iwcmc48107.2020.9148348 |
Popis: | The interest in indoor localization systems has grown outstandingly in recent years given the variety of fields of application. In certain technologies, the indoor localization platforms consist of a set of wireless nodes deployed inside the building and others attached to the mobile targets. These wireless nodes collect the required data for localization and send them to a central unit for processing because of their limited power and computation capabilities. The main goal of these systems is to provide the position of the targets in a timely fashion. However, when the number of smart objects increases in larger networks, the delay becomes significant and the lookup process of the target's position becomes challenging. In such a situation, there is a tradeoff between the lookup time efficiency and the central unit storage capabilities. The fog computing presents a promising solution for high computational and storage applications. It is a distributed architecture that brings both computational power and large storage capability to the edge level via distributed and interconnected fog nodes. We present in this paper a new lookup algorithm basedon chord protocol that permits to provide the current location of a specific target in an extended fog-based indoor localization platform within the shortest delays and without the need for strong nodes capabilities. |
Databáze: | OpenAIRE |
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