Comparing XML and JSON Characteristics as Formats for Data Serialization Within Ultralow Power Embedded Systems

Javascript object notation (JSON) and extensible markup language (XML) are two data serialization methods that have been compared over many applications, including client-server transmission, Internet communication, and large-scale data storage. Due to the smaller file size, JSON is faster for trans...

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Vydané v:IEEE embedded systems letters Ročník 16; číslo 4; s. 489 - 492
Hlavní autori: Gerrans, James, Sherratt, R. Simon
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.12.2024
Predmet:
Batteries
Codes
Data (De)-serialization
embedded system
Embedded systems
extensible markup language (XML)
javascript object notation (JSON)
medicine reuse
Memory management
near field communication (NFC)
Power demand
Voltage measurement
XML
ISSN:1943-0663, 1943-0671
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Abstract Javascript object notation (JSON) and extensible markup language (XML) are two data serialization methods that have been compared over many applications, including client-server transmission, Internet communication, and large-scale data storage. Due to the smaller file size, JSON is faster for transmitting data. However, XML is better for sending complex data structures. This letter compares the two data formats in the context of an embedded system, considering factors, such as time, memory, and power to identify efficient characteristics of each method. Programs for each format were written, optimized, and compared for the same dataset. The JSON file was found to be 24.7% smaller than the XML file. This led to a shorter program run-time and less power being consumed when reading and processing the file. However, the program to deserialize the XML file took up 16.7% less flash memory than its JSON counterpart. Overall, JSON was found to be a better choice for systems when collecting large amounts of data, requiring high speed communication, or running for an extended period between battery charges. However, XML is proposed for systems that have limited flash memory.
AbstractList Javascript object notation (JSON) and extensible markup language (XML) are two data serialization methods that have been compared over many applications, including client-server transmission, Internet communication, and large-scale data storage. Due to the smaller file size, JSON is faster for transmitting data. However, XML is better for sending complex data structures. This letter compares the two data formats in the context of an embedded system, considering factors, such as time, memory, and power to identify efficient characteristics of each method. Programs for each format were written, optimized, and compared for the same dataset. The JSON file was found to be 24.7% smaller than the XML file. This led to a shorter program run-time and less power being consumed when reading and processing the file. However, the program to deserialize the XML file took up 16.7% less flash memory than its JSON counterpart. Overall, JSON was found to be a better choice for systems when collecting large amounts of data, requiring high speed communication, or running for an extended period between battery charges. However, XML is proposed for systems that have limited flash memory.
Author Gerrans, James
Sherratt, R. Simon
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SubjectTerms Batteries
Codes
Data (De)-serialization
embedded system
Embedded systems
extensible markup language (XML)
javascript object notation (JSON)
medicine reuse
Memory management
near field communication (NFC)
Power demand
Voltage measurement
XML
Title Comparing XML and JSON Characteristics as Formats for Data Serialization Within Ultralow Power Embedded Systems
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Volume 16
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