Protocols Performance Evaluation : Smartphone’s Battery and Mobile Data Usage Based on LBS Application

Location-Based Services (LBS) are a crucial component of on-demand cellular telephones, requiring precise location as part of the service process. These services utilize the Global Positioning Service (GPS) on cellphones to determine location. In LBS applications that need near real-time or real-time location availability, geolocation data is periodically sent and then transmitted back to the recipient’s mobile device, completing one service cycle. A significant challenge is the high consumption of power and cellular data on these devices. Selecting the appropriate protocol optimizes the reduction of power and cellular data usage in mobile devices when utilizing LBS applications. The protocols tested included HTTP, WebSocket, AMQP, and gRPC, with client and server applications specifically designed for this testing. The HTTP protocol has been proven effective for sending geolocation data in LBS application development, with a primary focus on battery efficiency and independence from cellular data usage volume. The gRPC protocol is more suitable when minimizing cellular data usage is a priority, considering battery power consumption, and it is the optimal choice for receiving geolocation data. For applications requiring minimal battery power usage to receive geolocation data, the WebSocket protocol is the ideal choice.

Authors

Institutions

Publication Details

Published
2024-10-02
DOI
https://doi.org/10.1109/icset63729.2024.10774651
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Protocols Performance Evaluation : Smartphone’s Battery and Mobile Data Usage Based on LBS Application

Ary Setijadi Prihatmanto, Fredrikus Suarezsaga, Hendra Permana, Dewi Tresnawati et al.
IoT and Edge/Fog Computing
article

Protocols Performance Evaluation : Smartphone’s Battery and Mobile Data Usage Based on LBS Application

Ary Setijadi Prihatmanto, Fredrikus Suarezsaga, Hendra Permana, Dewi Tresnawati, Daniel Nugraha, Agus Sukoco
article en

Abstract

Location-Based Services (LBS) are a crucial component of on-demand cellular telephones, requiring precise location as part of the service process. These services utilize the Global Positioning Service (GPS) on cellphones to determine location. In LBS applications that need near real-time or real-time location availability, geolocation data is periodically sent and then transmitted back to the recipient’s mobile device, completing one service cycle. A significant challenge is the high consumption of power and cellular data on these devices. Selecting the appropriate protocol optimizes the reduction of power and cellular data usage in mobile devices when utilizing LBS applications. The protocols tested included HTTP, WebSocket, AMQP, and gRPC, with client and server applications specifically designed for this testing. The HTTP protocol has been proven effective for sending geolocation data in LBS application development, with a primary focus on battery efficiency and independence from cellular data usage volume. The gRPC protocol is more suitable when minimizing cellular data usage is a priority, considering battery power consumption, and it is the optimal choice for receiving geolocation data. For applications requiring minimal battery power usage to receive geolocation data, the WebSocket protocol is the ideal choice.

Bandung Institute of Technology (ID), Sepuluh Nopember Institute of Technology (ID)
Institut Teknologi Bandung, Technology Development
Affordable and clean energy
Openalex Percentile: Top 71%
IoT and Edge/Fog Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.