GOptimaEmbed: A SmartSMS-SQLDatabaseManagementSystem for Low-Cost Microcontrollers
N.E. Osegi, P. Enyindah

TL;DR
GOptimaEmbed is a novel smart database management system designed for low-cost microcontrollers, utilizing genetic algorithms and SMS-based SQL querying for efficient data access in IoT environments.
Contribution
The paper introduces GOptimaEmbed, a new smart DBMS that simplifies querying on embedded systems using genetic algorithms and a novel SMS SQL schema translator.
Findings
Effective querying over GSM modules in embedded systems
Satisfactory performance in plant database querying
Innovative use of genetic algorithms for search optimization
Abstract
The era of the Internet of things, machine-to-machine and human to machine computing has heralded the development of a modern-day smart industry in which humanoids can co-operate,co-exist and interact seamlessly.Currently, there are many projects in this area of smart communication and thus giving rise to an industry electrified by smart things.In this paper we present a novel smart database management system (dbms),GOptimaEmbed, for intelligent querying of databases in device constrained embedded systems. The system uses genetic algorithms as main search engine and simplifies the query process using stored in-memory model based on an invented device dependent Short-messaging-Structured Query Language SMS SQL schema translator. In addition, querying is done over the air using integrated GSM module in the smart space. The system has been applied to querying a plant database and results…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Context-Aware Activity Recognition Systems · IoT and Edge/Fog Computing
